WO2010086044A1 - Measurement of vibration characteristics of an object - Google Patents

Measurement of vibration characteristics of an object Download PDF

Info

Publication number
WO2010086044A1
WO2010086044A1 PCT/EP2009/065715 EP2009065715W WO2010086044A1 WO 2010086044 A1 WO2010086044 A1 WO 2010086044A1 EP 2009065715 W EP2009065715 W EP 2009065715W WO 2010086044 A1 WO2010086044 A1 WO 2010086044A1
Authority
WO
WIPO (PCT)
Prior art keywords
color channels
image
points
time period
displacement
Prior art date
Application number
PCT/EP2009/065715
Other languages
French (fr)
Inventor
Varun Akur Venkatesan
Venkatesh Bagaria
Garimella Padma Madhuri
Original Assignee
Siemens Aktiengesellschaft
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Siemens Aktiengesellschaft filed Critical Siemens Aktiengesellschaft
Priority to US13/146,969 priority Critical patent/US20120019654A1/en
Priority to JP2011546639A priority patent/JP5368583B2/en
Priority to EP09799049.3A priority patent/EP2384423B1/en
Priority to CN2009801561123A priority patent/CN102301212B/en
Publication of WO2010086044A1 publication Critical patent/WO2010086044A1/en

Links

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01H—MEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H9/00—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means
    • G01H9/002—Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves by using radiation-sensitive means, e.g. optical means for representing acoustic field distribution
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B11/00—Measuring arrangements characterised by the use of optical techniques
    • G01B11/24—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures
    • G01B11/25—Measuring arrangements characterised by the use of optical techniques for measuring contours or curvatures by projecting a pattern, e.g. one or more lines, moiré fringes on the object
    • G01B11/2509—Color coding

Definitions

  • the present invention relates to a method and apparatus for measuring vibration characteristics of moving objects.
  • Vibration frequency measurement is critical for estimating the life and health of complex structures or machine parts and also for performance analysis.
  • strain gage, camera, and laser Doppler based methods have been employed for measuring vibrations.
  • these methods exhibit potential drawbacks.
  • Strain gages are applied on the vibrating object with wires leading out of it.
  • the strain gage measures change in resistance, as the strain in each of the points where the gages the placed, and hence only small displacement can be measured.
  • the systems are primitive and necessitate extensive wiring as the number of points of measurement increases and are also not possible for use in rotating parts. Further, the systems need to be stuck on to the object which introduces errors due to mass loading and also makes it cumbersome due to the presence of wires.
  • the systems are also limited by a minimum and maximum displacement to be measured. Moreover, they are not reusable .
  • the above objective is achieved by a method of measuring vibration characteristics associated to an object, wherein the method comprises illuminating an object using at least two light sources, the at least two light sources emitting light of distinct colors, wherein each of the at least two light sources are strobed at a respective delay, capturing reflected light from the object to result into one image of the object, the image comprising at least two distinguishable color channels capable of distinguishing the distinct colors of the light, and processing the image to compute the vibration characteristics associated with motion of the object from positions of points on the object in at least two distinguishable color channels of the image .
  • each of the at least two light sources are strobed for a pre-determined on-time at the respective delay, wherein the respective delay is predetermined. This enables capturing of plurality of points of the vibrating object at varying time instances in one image.
  • At least two light sources are selected from the group consisting of a red light source, a green light source, and a blue light source .
  • the characteristic associated with motion of the object is one of the group consisting of displacement and frequency.
  • the displacement is computed as the distance between positions of the points on the object in two color channels of the at least two distinguishable colour channels of the image.
  • the displacement at points on the object is located using at least one of feature points or reflective markers.
  • the displacement is computed using a pattern matching algorithm.
  • the computation of the displacement using the pattern matching algorithm includes obtaining position information of the points on the object in two colour channels of the at least two colour channels of the image, reducing the object in the two color channels of the at least two colour channels of the image to a point to obtain point sets, mapping the corresponding points of the object in the point sets of the two color channels of the at least two colour channels of the image, and computing the displacement of the object as a distance between corresponding points of the object in the point sets of the two colour channels of the at least two color channels of the image.
  • the frequency of vibration of the object is computed using a time wrapping algorithm.
  • computation of the frequency using the wrapping algorithm includes, initializing a time period for obtaining position information of point on the vibrating object in the at least two distinguishable color channels of the image, wrapping the position information of the points on the object in the two color channels of the at least two color channels of the image into the time period, mapping the corresponding the points of the object in the point sets of the two color channels of the at least two color channels of the image at the time period, and computing time period of a dominant cycle by equating wrap time period of the points with the initialized time period.
  • a time period corresponding to least value of error metric of the points in the point sets of the object in the at least two color channels of the image is computed.
  • the error metric represents root mean square value of the distance between distinct consecutive points in the point set of the object.
  • Another embodiment includes an apparatus for measuring vibration characteristics associated to an object, wherein the apparatus comprises an illuminating device comprising at least two light sources, the at least two light sources emitting light of distinct colors, wherein each of the at least two light sources are strobed at a respective delay, a color camera to capture reflected light from the object to result into one image of the object, the image comprising at least two distinguishable color channels capable of distinguishing the distinct colors of the light, and a processor to process the image to the vibration characteristics associated with the object from positions of the object in the at least two distinguishable color channels of the image.
  • an illuminating device comprising at least two light sources, the at least two light sources emitting light of distinct colors, wherein each of the at least two light sources are strobed at a respective delay
  • a color camera to capture reflected light from the object to result into one image of the object, the image comprising at least two distinguishable color channels capable of distinguishing the distinct colors of the light
  • a processor to process the image to the vibration characteristics associated with the object from positions
  • FIG 1 illustrates a block diagram depicting an apparatus for measuring vibration characteristics associated with motion of an object according to an embodiment herein,
  • FIG 2 illustrates a schematic diagram depicting strobing of light sources for acquiring high speed images an object according to an embodiment herein,
  • FIG 3 illustrates an exemplary depiction of a sample collection phase of images according to an embodiment herein
  • FIG 4A illustrates an exemplary depiction of clustered image samples at correct wrapping time according to an embodiment herein
  • FIG 4B illustrates an exemplary depiction of scattered image samples at incorrect wrapping time according to an embodiment herein
  • FIG 5 illustrates a flow diagram illustrating a method of computing displacement of a vibrating object according to an embodiment herein.
  • FIG 6 illustrates a flow diagram illustrating a method of measuring frequency of vibration of an object using a time wrapping algorithm according to an embodiment herein .
  • FIG 1 illustrates a block diagram depicting an apparatus for measuring a vibration characteristics associated with motion of an object 12 in accordance with an embodiment of the invention.
  • the apparatus 10 comprises of an illuminating device 11 to illuminate the object 12, a camera 13 to capture the image of the vibrating objects 12, and an image processing means 14 to compute a vibration characteristics of the objects 12.
  • the vibration characteristics of objects 12 measured herein includes displacement and frequency.
  • the illuminating device 11 comprises at least two light sources 17, wherein the light sources emit light of distinct colors.
  • the light sources 17 are selected from the principle colors red, green and blue.
  • Each of the light sources 17 is strobed at a respective predetermined delay for a respective predetermined ON time.
  • the object 12 shall reflect the light projected on it by the light sources 17 for the respective predetermined on- time.
  • the object 12 illuminated using an illuminating device 11 comprising three light sources 17, such as, a red light source, a green light source and a blue light source will reflect red color light, green color light and blue color light respectively.
  • the camera 13 is exposed for the entire duration of strobing of the light sources 17, and thus, captures the reflected light of distinct colors from the object 12 into one image comprising distinguishable color channels.
  • the image obtained is a composite image comprising the plurality of color channels.
  • the number of color channels in an image is equivalent to the number of light sources illuminating the object 12. Therefore, the composite image comprises the colour channels that are capable of distinguishing the distinct colors of the light produced by the light sources, for example, the red, green, and blue colors.
  • illuminating the object 12 with light sources 17 emitting light of distinct colors and exposing the camera for the entire duration of strobing of the light sources 17 enable capturing the distinct colors of light reflected by the object 12 at varying instances of time into one image.
  • Capturing the reflected light of distinct colors from the object 12 at varying instances of time in one image allows imaging of a vibrating object 12.
  • the capturing of the reflected light from the object 12in color channels capable of distinguishing the distinct colors of light enable determining the position of the object 12 at varying instances of time.
  • the image processing means 14 comprises a processor 15 operationally coupled to a memory 16.
  • the processor 15 processes the image captured by the camera 13 to compute the vibration characteristics of the object 12 by determining the positions of the feature points 18 of the object 12 in the different color channels of the image.
  • the memory 16 may comprise stored there in algorithms to determine the displacement and frequency of vibration of the object 12.
  • the displacements at various points 18 on the vibrating object 12 are captured by the location of the feature points.
  • the pattern matching algorithm enables to match various points 18 on the object 12 in different color channels of the image. The distance between the points 18 of the object 12 in two color channels of the image provides the displacement of the object 12.
  • FIG 2 illustrates a schematic diagram depicting strobing of light sources for acquiring high speed images an object according to an embodiment herein.
  • the illuminating device 11 comprises three light sources 17.
  • the apparatus 10 acquires high speed images of the object 12 using the illuminating device 11 and captures the images using a camera 13 in the same exposure time.
  • the illuminating device 11 can be, for instance, RGB strobe light source 17.
  • Each of the light sources 17 is strobed after a time delay from a reference period for an on-time.
  • the camera 13 is exposed for a time, such that the reflected light form the object 12 due to the illumination of the object 12 using the light sources 17 is captured in a single image frame.
  • a low cost camera 13 can now obtain three image frames at small intervals of time apart. An inter-frame delay corresponding to the image acquisition time occurs followed by consecutive image acquisition.
  • illuminating the object 12 with light sources 17 emitting light of distinct colors and exposing the camera 13 for the entire duration of strobing of the light sources 17 enable capturing the distinct colors of light reflected by the object 12 at varying instances of time into one image. Capturing the reflected light of distinct colors from the object 12 at varying instances of time in one image allows imaging of the vibrating object 12. The capturing of the reflected light from the object 12 in color channels capable of distinguishing the distinct colors of light enable determining the position of the object 12 at varying instances of time. The displacements at various points on the vibrating object 12 are captured by examining the location of feature points of the object 12 in at least two color channels of the image.
  • the first light source may be a red light source
  • the second light source may be a green light source
  • the third light source may be a blue light source.
  • the on-time of camera 13 and the time delays may be adjusted depending on the area of application. For example, for obtaining frequency of very fast moving objects the delays may be decreased and for measuring frequency of slow moving objects the delays may be increased.
  • FIG 3 illustrates an exemplary depiction of a sample collection phase of images according to an embodiment herein.
  • the signal 18 is the position of a point on an object 12 which is vibrating.
  • the dominant cycle is selected, shown as 19 (a) of which the frequency is to be measured.
  • the apparatus 10 can collect three samples (20) every 30 ms apart and lighting allows collecting three samples at arbitrarily small intervals. Three samples depicted as dots are collected for every 30 ms cycle ( (20 (a) , 20(b),20(c), 20 (d) , 20 (e) ) .
  • Cycle 20 (a) provides sample points (tl,yl), (t2,y2), (t3,y3), cycle 20 (b) provides sample points (t4, y4) , (t5,y5), (t6,y6),and the subsequent cycles so on.
  • (tl,yl) represents the time of acquisition of the sample and the position of a point on the object at the time of sample acquisition. The positions are located using feature points on the moving object 12 or using reflective markers.
  • the sampling and analysis is performed based on a static vibration of the object 12.
  • the samples collected are used to identify the dominant cycle of vibration.
  • the vibration frequency can then be obtained by using the reciprocal of the time period of the cycle, which is performed using a time wrapping algorithm.
  • one conventional image frame is split into three RGB frames, comprising of color planes acquired at small intervals apart.
  • the sampling rates after three RGB frames are limited by a camera image acquisition interval, instanced as 30ms. Since most systems vibrate periodically, it does not necessitate capturing many samples in one acquisition cycle itself. Samples at different positions in a 30ms period are collected at different cycles. Thus adequate samples at different parts during one acquisition period of 30 ms are collected.
  • FIG 4A illustrates an exemplary depiction of clustered image samples at correct wrapping time according to an embodiment herein.
  • a time period Tw is initially set as an interval for image acquisition.
  • the samples of image data at different positions are measured at different parts of the time period.
  • the samples thus obtained are wrapped into the initialized time period Tw.
  • Tw 10
  • the samples at (2.1, 3.2), (3.2, .123), (4.5, .34), (12.5,.91), (22.4,.21), (25.1,-2.3) would be wrapped as (2.1, 3.2), (3.2, .123), (4.5, .34), (12.5, .91), (22.4, .21), (25.1,-2.3).
  • the wrapping time of the samples matches with the initialized time period Tw, the sample image data points would be clustered as illustrated in FIG 4A. This time period is then selected as the dominant cycle of the vibration phenomenon to further calculate the frequency of vibration .
  • FIG 4B illustrates an exemplary depiction of scattered image samples at incorrect wrapping time according to an embodiment herein.
  • a time period Tw is initially set as an interval for image acquisition.
  • the samples of image data at different positions measured at different parts of the time period.
  • the samples thus obtained are wrapped into the initialized time period Tw. If samples are wrapped at incorrect times as compared to initialized time period Tw, the sample image data points would be scattered as illustrated in FIG 4B.
  • error metric is obtained by measuring the root mean square value of the pair-wise distance between distinct consecutive points of the object 12.
  • the time period Tw is then scanned and value of Tw corresponding to the least value of the error metric is calculated. This provides the dominant cycle of vibration of points 18 of the object 12. Frequency of vibration of the object 12 can thus be obtained by taking reciprocal of the time period of the dominant cycle.
  • FIG 5 illustrates a flow diagram illustrating a method of computing displacement at different points of the object according to an embodiment herein.
  • position information of the objects 12 is obtained in two color channels of the at least two color channels of the image.
  • the objects 12 in the two color channels of the at least two color channels is reduced to a point 18 to obtain point sets.
  • the corresponding points 18 of the object 12 in the point sets of the two color channels of the at least two color channels of the image are mapped.
  • the displacement at various points 18 on the object 12 is computed as a distance between corresponding points 18 of the object 12 in two color channels of the image.
  • the position information of the points 18 of the objects 12 in two color channels is obtained using a pattern matching algorithm.
  • FIG 6 illustrates a flow diagram illustrating a method of measuring frequency of vibration of an object using a time wrapping algorithm according to an embodiment herein.
  • the camera 13 is exposed towards the object 12 to capture the images of the vibrating object 12 in a single exposure frame.
  • the illuminating device 11, which is an RGB strobing system acquires high speed images of the object 12 using RGB strobe light.
  • the object 12 is strobed with Red light and the red pixels acquire the image. A small interval of time later, the object 12 moves a few pixels away and the object 12is then strobed with green light at block 63.
  • the object 12 is strobed with blue light.
  • the composite image results out as the camera 13 remains exposed for the entire time interval.
  • the strobe time of the object 12 and the feature points are captured and the positions and displacements of the points 18 on the object 12 are obtained.
  • the image acquisition cycle repeats after a small inter-cycle delay corresponding to image acquisition time.
  • the time wrapping algorithm is run on stored points 18.
  • the frequency of vibrations is measured by computing the dominanat cycle of image acquisition by mapping corresponding image data with a wrapping time of image data acquired.
  • the image data points are clustered if wrapping time is same as that of initialized time period. If the wrapping time is different of the time period, a time period corresponding to least value of error metric of points 18 in point sets of the object 12 in the at least two color channels of the image is computed. Error metric represents root mean square value of the distance between distinct consecutive the points 18 in the point set of the object 12.
  • the embodiments described herein enable determining characteristics such as displacement, frequency, etc of an object moving at a high speed using a relatively less expensive camera. Moreover, accuracy of the parameters measured is relatively high. Additionally, the techniques described herein eliminate the requirement of high speed cameras, which are bulky and need external cooling systems, for capturing images of object 12 moving at a high speed. Further, the apparatus exhibits higher dynamic range and can be employed without additional fabrication.
  • the apparatus for measuring vibration frequency of an object disclosed herein has extensive applications in diverse fields. It can be used for prediction of loading and dynamic stresses and strains on mechanical parts such as crank shafts and shock absorbers for performance analysis. Generally, material life time is measured by the number of fatigue loading cycles which can be estimated by vibration frequency. The apparatus provides a better estimate of the life of a stressed object as the number of loading cycles is calculated in real time, thereby avoiding unpredicted damages.
  • the apparatus can be used for evaluating large civil structures, vibrating membranes and vibration mode shape analysis of objects.

Abstract

A method and apparatus for measuring the vibration characteristics of an object (12) is disclosed. The method comprises illuminating the object (12) using at least two light sources (17), the at least two light sources (17) emitting light of distinct colors, wherein each of the at least two light sources (17) are strobed at a respective delay, capturing reflected light from the object (12) to result into one image of the object (12), the image comprising at least two distinguishable color channels capable of distinguishing the distinct colors of the light, and processing the image to compute the vibration characteristics associated with the object (12) from positions of the points on the object (12) in the at least two distinguishable color channels of the image.

Description

Description
Measurement of Vibration Characteristics of an Object
The present invention relates to a method and apparatus for measuring vibration characteristics of moving objects.
Characterization of vibration motion is essential for the study of many physical and dynamic systems. Vibration frequency measurement is critical for estimating the life and health of complex structures or machine parts and also for performance analysis. Conventionally, strain gage, camera, and laser Doppler based methods have been employed for measuring vibrations. However, these methods exhibit potential drawbacks.
Strain gages are applied on the vibrating object with wires leading out of it. The strain gage measures change in resistance, as the strain in each of the points where the gages the placed, and hence only small displacement can be measured. The systems are primitive and necessitate extensive wiring as the number of points of measurement increases and are also not possible for use in rotating parts. Further, the systems need to be stuck on to the object which introduces errors due to mass loading and also makes it cumbersome due to the presence of wires. The systems are also limited by a minimum and maximum displacement to be measured. Moreover, they are not reusable .
Camera based systems capture displacement of various points on a surface over time and studies the vibration. However, these systems are limited by frame rates. The cost of cameras increases as the frame rates increases, thereby inducing a limit on the frame rate. Hence higher speeds cannot be captured as they have a maximum and minimum limitation of speed for a vibrating object to measure the vibrating frequency. Conventionally, the laser vibrometers can measure vibrations at one point only. The systems use prohibitively expensive techniques and apparatuses to measure vibration at different directions. Further, they cannot measure spatial modes of vibration, which are required for damage and impact analysis.
It is an objective of the invention to eliminate or at least minimize the above mentioned problems.
The above objective is achieved by a method of measuring vibration characteristics associated to an object, wherein the method comprises illuminating an object using at least two light sources, the at least two light sources emitting light of distinct colors, wherein each of the at least two light sources are strobed at a respective delay, capturing reflected light from the object to result into one image of the object, the image comprising at least two distinguishable color channels capable of distinguishing the distinct colors of the light, and processing the image to compute the vibration characteristics associated with motion of the object from positions of points on the object in at least two distinguishable color channels of the image .
Thereby, enabling measurement of characteristics associated with vibration motion of the objects using low cost cameras .
According to an embodiment, each of the at least two light sources are strobed for a pre-determined on-time at the respective delay, wherein the respective delay is predetermined. This enables capturing of plurality of points of the vibrating object at varying time instances in one image.
According to yet another embodiment, at least two light sources are selected from the group consisting of a red light source, a green light source, and a blue light source .
This enables capturing the reflected light from the object to result into an image as the object may comprise at least one of the principle colours.
According to yet another embodiment, the characteristic associated with motion of the object is one of the group consisting of displacement and frequency.
According to yet another embodiment, the displacement is computed as the distance between positions of the points on the object in two color channels of the at least two distinguishable colour channels of the image.
According to yet another embodiment, the displacement at points on the object is located using at least one of feature points or reflective markers.
According to yet another embodiment, the displacement is computed using a pattern matching algorithm.
Thereby, providing greater accuracy in environments where displacement associated with vibrations of a plurality of points on the object are measured.
According to yet another embodiment, the computation of the displacement using the pattern matching algorithm includes obtaining position information of the points on the object in two colour channels of the at least two colour channels of the image, reducing the object in the two color channels of the at least two colour channels of the image to a point to obtain point sets, mapping the corresponding points of the object in the point sets of the two color channels of the at least two colour channels of the image, and computing the displacement of the object as a distance between corresponding points of the object in the point sets of the two colour channels of the at least two color channels of the image.
According to yet another embodiment, the frequency of vibration of the object is computed using a time wrapping algorithm.
According to yet another embodiment, computation of the frequency using the wrapping algorithm includes, initializing a time period for obtaining position information of point on the vibrating object in the at least two distinguishable color channels of the image, wrapping the position information of the points on the object in the two color channels of the at least two color channels of the image into the time period, mapping the corresponding the points of the object in the point sets of the two color channels of the at least two color channels of the image at the time period, and computing time period of a dominant cycle by equating wrap time period of the points with the initialized time period.
Thereby, obtaining a clustered image of the object, indicating the dominant cycle, when the wrapping time of points is same as that of the time period.
According to yet another embodiment, wherein if the wrap time period of points is different of the time period, a time period corresponding to least value of error metric of the points in the point sets of the object in the at least two color channels of the image is computed.
According to yet another embodiment, the error metric represents root mean square value of the distance between distinct consecutive points in the point set of the object.
Thereby, obtaining the dominant cycle of vibration of the point on the object to determine the vibration frequency of the object.
Another embodiment includes an apparatus for measuring vibration characteristics associated to an object, wherein the apparatus comprises an illuminating device comprising at least two light sources, the at least two light sources emitting light of distinct colors, wherein each of the at least two light sources are strobed at a respective delay, a color camera to capture reflected light from the object to result into one image of the object, the image comprising at least two distinguishable color channels capable of distinguishing the distinct colors of the light, and a processor to process the image to the vibration characteristics associated with the object from positions of the object in the at least two distinguishable color channels of the image.
Thereby, eliminating the need of expensive high speed cameras for measuring characteristics associated with vibration of an object.
The present invention is further described hereinafter with reference to illustrated embodiments shown in the accompanying drawings, in which:
FIG 1 illustrates a block diagram depicting an apparatus for measuring vibration characteristics associated with motion of an object according to an embodiment herein,
FIG 2 illustrates a schematic diagram depicting strobing of light sources for acquiring high speed images an object according to an embodiment herein,
FIG 3 illustrates an exemplary depiction of a sample collection phase of images according to an embodiment herein,
FIG 4A illustrates an exemplary depiction of clustered image samples at correct wrapping time according to an embodiment herein,
FIG 4B illustrates an exemplary depiction of scattered image samples at incorrect wrapping time according to an embodiment herein,
FIG 5 illustrates a flow diagram illustrating a method of computing displacement of a vibrating object according to an embodiment herein, and
FIG 6 illustrates a flow diagram illustrating a method of measuring frequency of vibration of an object using a time wrapping algorithm according to an embodiment herein .
Various embodiments are described with reference to the drawings, wherein like reference numerals are used to refer to like elements throughout. In the following description, for purpose of explanation, numerous specific details are set forth in order to provide a thorough understanding of one or more embodiments. It may be evident that such embodiments may be practiced without these specific details . FIG 1 illustrates a block diagram depicting an apparatus for measuring a vibration characteristics associated with motion of an object 12 in accordance with an embodiment of the invention. The apparatus 10 comprises of an illuminating device 11 to illuminate the object 12, a camera 13 to capture the image of the vibrating objects 12, and an image processing means 14 to compute a vibration characteristics of the objects 12. The vibration characteristics of objects 12 measured herein includes displacement and frequency.
In the shown example of Fig 1, the illuminating device 11 comprises at least two light sources 17, wherein the light sources emit light of distinct colors. The light sources 17 are selected from the principle colors red, green and blue. Each of the light sources 17 is strobed at a respective predetermined delay for a respective predetermined ON time. The object 12 shall reflect the light projected on it by the light sources 17 for the respective predetermined on- time. For example, the object 12 illuminated using an illuminating device 11 comprising three light sources 17, such as, a red light source, a green light source and a blue light source will reflect red color light, green color light and blue color light respectively.
The camera 13 is exposed for the entire duration of strobing of the light sources 17, and thus, captures the reflected light of distinct colors from the object 12 into one image comprising distinguishable color channels. The image obtained is a composite image comprising the plurality of color channels. For an example, the number of color channels in an image is equivalent to the number of light sources illuminating the object 12. Therefore, the composite image comprises the colour channels that are capable of distinguishing the distinct colors of the light produced by the light sources, for example, the red, green, and blue colors. Thus, illuminating the object 12 with light sources 17 emitting light of distinct colors and exposing the camera for the entire duration of strobing of the light sources 17 enable capturing the distinct colors of light reflected by the object 12 at varying instances of time into one image. Capturing the reflected light of distinct colors from the object 12 at varying instances of time in one image allows imaging of a vibrating object 12. The capturing of the reflected light from the object 12in color channels capable of distinguishing the distinct colors of light enable determining the position of the object 12 at varying instances of time.
In an embodiment, the image processing means 14 comprises a processor 15 operationally coupled to a memory 16. The processor 15 processes the image captured by the camera 13 to compute the vibration characteristics of the object 12 by determining the positions of the feature points 18 of the object 12 in the different color channels of the image. The memory 16 may comprise stored there in algorithms to determine the displacement and frequency of vibration of the object 12. The displacements at various points 18 on the vibrating object 12 are captured by the location of the feature points. The pattern matching algorithm enables to match various points 18 on the object 12 in different color channels of the image. The distance between the points 18 of the object 12 in two color channels of the image provides the displacement of the object 12.
The image at different positions of the object 12 in different color channels are captured and are then analyzed to obtain the feature points. After a sufficient number of images are obtained, an algorithm fed to the memory 16 is used to calculate the frequency of each point 18 in the point set on the vibrating object 12. FIG 2 illustrates a schematic diagram depicting strobing of light sources for acquiring high speed images an object according to an embodiment herein. In the example of Fig 2, the illuminating device 11 comprises three light sources 17. The apparatus 10 acquires high speed images of the object 12 using the illuminating device 11 and captures the images using a camera 13 in the same exposure time. The illuminating device 11 can be, for instance, RGB strobe light source 17. Each of the light sources 17 is strobed after a time delay from a reference period for an on-time. The camera 13 is exposed for a time, such that the reflected light form the object 12 due to the illumination of the object 12 using the light sources 17 is captured in a single image frame. Hence, a low cost camera 13 can now obtain three image frames at small intervals of time apart. An inter-frame delay corresponding to the image acquisition time occurs followed by consecutive image acquisition.
Thus, illuminating the object 12 with light sources 17 emitting light of distinct colors and exposing the camera 13 for the entire duration of strobing of the light sources 17 enable capturing the distinct colors of light reflected by the object 12 at varying instances of time into one image. Capturing the reflected light of distinct colors from the object 12 at varying instances of time in one image allows imaging of the vibrating object 12. The capturing of the reflected light from the object 12 in color channels capable of distinguishing the distinct colors of light enable determining the position of the object 12 at varying instances of time. The displacements at various points on the vibrating object 12 are captured by examining the location of feature points of the object 12 in at least two color channels of the image. For an example, the first light source may be a red light source, the second light source may be a green light source and the third light source may be a blue light source. The on-time of camera 13 and the time delays may be adjusted depending on the area of application. For example, for obtaining frequency of very fast moving objects the delays may be decreased and for measuring frequency of slow moving objects the delays may be increased.
FIG 3 illustrates an exemplary depiction of a sample collection phase of images according to an embodiment herein. As illustrated in Fig 3, the signal 18 is the position of a point on an object 12 which is vibrating. The dominant cycle is selected, shown as 19 (a) of which the frequency is to be measured. The apparatus 10 can collect three samples (20) every 30 ms apart and lighting allows collecting three samples at arbitrarily small intervals. Three samples depicted as dots are collected for every 30 ms cycle ( (20 (a) , 20(b),20(c), 20 (d) , 20 (e) ) . Cycle 20 (a) provides sample points (tl,yl), (t2,y2), (t3,y3), cycle 20 (b) provides sample points (t4, y4) , (t5,y5), (t6,y6),and the subsequent cycles so on. Here, (tl,yl) represents the time of acquisition of the sample and the position of a point on the object at the time of sample acquisition. The positions are located using feature points on the moving object 12 or using reflective markers. The sampling and analysis is performed based on a static vibration of the object 12. The samples collected are used to identify the dominant cycle of vibration. The vibration frequency can then be obtained by using the reciprocal of the time period of the cycle, which is performed using a time wrapping algorithm.
Here, one conventional image frame is split into three RGB frames, comprising of color planes acquired at small intervals apart. The sampling rates after three RGB frames are limited by a camera image acquisition interval, instanced as 30ms. Since most systems vibrate periodically, it does not necessitate capturing many samples in one acquisition cycle itself. Samples at different positions in a 30ms period are collected at different cycles. Thus adequate samples at different parts during one acquisition period of 30 ms are collected.
FIG 4A illustrates an exemplary depiction of clustered image samples at correct wrapping time according to an embodiment herein. A time period Tw is initially set as an interval for image acquisition. The samples of image data at different positions are measured at different parts of the time period. The samples thus obtained are wrapped into the initialized time period Tw. For example, Tw = 10, then the samples at (2.1, 3.2), (3.2, .123), (4.5, .34), (12.5,.91), (22.4,.21), (25.1,-2.3) would be wrapped as (2.1, 3.2), (3.2, .123), (4.5, .34), (12.5, .91), (22.4, .21), (25.1,-2.3). If the wrapping time of the samples matches with the initialized time period Tw, the sample image data points would be clustered as illustrated in FIG 4A. This time period is then selected as the dominant cycle of the vibration phenomenon to further calculate the frequency of vibration .
FIG 4B illustrates an exemplary depiction of scattered image samples at incorrect wrapping time according to an embodiment herein. A time period Tw is initially set as an interval for image acquisition. The samples of image data at different positions measured at different parts of the time period. The samples thus obtained are wrapped into the initialized time period Tw. If samples are wrapped at incorrect times as compared to initialized time period Tw, the sample image data points would be scattered as illustrated in FIG 4B. In this case, error metric is obtained by measuring the root mean square value of the pair-wise distance between distinct consecutive points of the object 12. The time period Tw is then scanned and value of Tw corresponding to the least value of the error metric is calculated. This provides the dominant cycle of vibration of points 18 of the object 12. Frequency of vibration of the object 12 can thus be obtained by taking reciprocal of the time period of the dominant cycle.
FIG 5 illustrates a flow diagram illustrating a method of computing displacement at different points of the object according to an embodiment herein. At block 51, position information of the objects 12 is obtained in two color channels of the at least two color channels of the image. Next, at block 52, the objects 12 in the two color channels of the at least two color channels is reduced to a point 18 to obtain point sets. At block 53, the corresponding points 18 of the object 12 in the point sets of the two color channels of the at least two color channels of the image are mapped. Moving next to block 54, the displacement at various points 18 on the object 12is computed as a distance between corresponding points 18 of the object 12 in two color channels of the image.
Preferably, the position information of the points 18 of the objects 12 in two color channels is obtained using a pattern matching algorithm.
FIG 6 illustrates a flow diagram illustrating a method of measuring frequency of vibration of an object using a time wrapping algorithm according to an embodiment herein. At block 61, the camera 13 is exposed towards the object 12 to capture the images of the vibrating object 12 in a single exposure frame. The illuminating device 11, which is an RGB strobing system acquires high speed images of the object 12 using RGB strobe light. At block 62, the object 12 is strobed with Red light and the red pixels acquire the image. A small interval of time later, the object 12 moves a few pixels away and the object 12is then strobed with green light at block 63. At block 64, the object 12 is strobed with blue light. At block 65, the composite image results out as the camera 13 remains exposed for the entire time interval. At block 66, the strobe time of the object 12 and the feature points are captured and the positions and displacements of the points 18 on the object 12 are obtained. At block 67, the image acquisition cycle repeats after a small inter-cycle delay corresponding to image acquisition time. At block 68, the time wrapping algorithm is run on stored points 18. Next, at block 69, the frequency of vibrations is measured by computing the dominanat cycle of image acquisition by mapping corresponding image data with a wrapping time of image data acquired.
Preferably, the image data points are clustered if wrapping time is same as that of initialized time period. If the wrapping time is different of the time period, a time period corresponding to least value of error metric of points 18 in point sets of the object 12 in the at least two color channels of the image is computed. Error metric represents root mean square value of the distance between distinct consecutive the points 18 in the point set of the object 12.
Thus, the embodiments described herein enable determining characteristics such as displacement, frequency, etc of an object moving at a high speed using a relatively less expensive camera. Moreover, accuracy of the parameters measured is relatively high. Additionally, the techniques described herein eliminate the requirement of high speed cameras, which are bulky and need external cooling systems, for capturing images of object 12 moving at a high speed. Further, the apparatus exhibits higher dynamic range and can be employed without additional fabrication.
In view of the foregoing, owing to the advantages described, the apparatus for measuring vibration frequency of an object disclosed herein has extensive applications in diverse fields. It can be used for prediction of loading and dynamic stresses and strains on mechanical parts such as crank shafts and shock absorbers for performance analysis. Generally, material life time is measured by the number of fatigue loading cycles which can be estimated by vibration frequency. The apparatus provides a better estimate of the life of a stressed object as the number of loading cycles is calculated in real time, thereby avoiding unpredicted damages.
The apparatus can be used for evaluating large civil structures, vibrating membranes and vibration mode shape analysis of objects.
While this invention has been described in detail with reference to certain preferred embodiments, it should be appreciated that the present invention is not limited to those precise embodiments. Rather, in view of the present disclosure which describes the current best mode for practicing the invention, many modifications and variations would present themselves, to those of skill in the art without departing from the scope and spirit of this invention. The scope of the invention is, therefore, indicated by the following claims rather than by the foregoing description. All changes, modifications, and variations coming within the meaning and range of equivalency of the claims are to be considered within their scope .

Claims

We claim :
1. A method of measuring vibration characteristics associated to an object (12), said method comprising: -illuminating said object (12) using at least two light sources (17), said at least two light sources (17) emitting light of distinct colors, wherein each of said at least two light sources (17) are strobed at a respective delay, -capturing reflected light from said object (12) to result into one image of said object (12), said image comprising at least two distinguishable color channels capable of distinguishing the distinct colors of the light, and -processing said image to compute said vibration characteristics associated with said object (12) from positions of points (18) on said object (12) in said at least two distinguishable color channels of said image.
2. The method according to claim 1, wherein each of said at least two light sources (17) are strobed for a predetermined on-time at said respective delay, wherein said respective delay is predetermined.
3. The method according to claim 1, wherein said at least two light sources (17) are selected from the group consisting of a red light source, a green light source, and a blue light source.
4. The method according to claim 1, wherein said vibrating characteristic associated with said object 12 is one of the group comprising at least one of frequency and displacement .
5. The method according to claim 4, wherein said displacement is computed as the distance between positions of said points (18) on said object (12) in two color channels of said at least two distinguishable color channels of said image.
6. The method according to claim 5, wherein said displacement at said points (18) on said object (12) is located using at least one of feature points and reflective markers .
7. The method according to claim 4, wherein said displacement is computed using a pattern matching algorithm.
8. The method according to claim 7, wherein the computation of said displacement using said pattern matching algorithm includes :
-obtaining position information of said points (18) on said object (12) in two color channels of said at least two color channels of said image,
-reducing said object (12) in said two color channels of said at least two color channels of said image to said point (18) to obtain point sets,
-mapping the corresponding points (18) of said object (12) in said point sets of said two color channels of said at least two color channels of said image, and -computing said displacement of said object (12) as a distance between corresponding said points (18) of said object 12 in said point sets of said two color channels of said at least two color channels of said image.
9. The method as claimed in claim 4, wherein said frequency of vibration of said object (12) is computed using a time wrapping algorithm.
10. The method according to claim 9, wherein computation of said frequency using said wrapping algorithm includes: -initializing a time period for obtaining position information of said point (18) on said vibrating object
(12) in said at least two distinguishable color channels of said image,
-wrapping position information of said points (18) on said object 12 in said two color channels of said at least two color channels of said image into said time period, -mapping the corresponding said points (18) of said object
(12) in said point sets of said two color channels of said at least two color channels of said image at said time period, and
-computing time period of a dominant cycle by equating wrap time period of said points (18) with said time period.
11. The method according to claim 10, wherein if said wrap time period is different of said time period, a time period corresponding to least value of error metric of said points (18) in said point sets of said object (12) in said at least two color channels of said image is computed.
12. The method according to claim 11, wherein said error metric represents root mean square value of the distance between distinct consecutive said points (18) in said point set of said object (12) .
13. An apparatus (10) for measuring vibration characteristics associated to an object (12), said apparatus (10) comprising:
-an illuminating device (11) comprising at least two light sources (17), said at least two light sources (17) emitting light of distinct colors, wherein each of said at least two light sources (17) are strobed at a respective delay, -a color camera (13) to capture reflected light from said object 12 to result into one image of said object (12), said image comprising at least two distinguishable color channels capable of distinguishing the distinct colors of the light, and
-a processing means (14) to process said image to obtain said vibration characteristics associated said object (12) from positions of points (18) on said object (12) in said at least two distinguishable color channels of said image.
14. The apparatus according to claim 13, wherein each of said at least two light sources (17) are strobed for a predetermined on-time at said respective delay, wherein said respective delay is pre-determined.
15. The apparatus according to claim 13, wherein said at least two light sources (17) are selected from the group consisting of a red light source, a green light source, and a blue light source.
16. The apparatus according to claim 13, wherein said vibrating characteristic associated with said object (12) is one of the group comprising at least one of frequency and displacement.
17. The apparatus according to claim 13, wherein said displacement is computed as the distance between positions of said points (18) on said object (12) in two color channels of said at least two distinguishable color channels of said image.
18. The apparatus according to claim 17, wherein said displacement at said points on said object (12) is located using at least one of feature points and reflective markers .
19. The apparatus according to claim 16, wherein said displacement is computed using a pattern matching algorithm.
20. The apparatus according to claim 19, wherein the computation of said displacement using said pattern matching algorithm includes configuring said processor to: -obtain position information of said points (18) on said object (12) in two color channels of said at least two color channels of said image,
-reduce said object (12) in said two color channels of said at least two color channels of said image to said point
(18) to obtain point sets,
-map the corresponding points of said object (12) in said point sets of said two color channels of said at least two color channels of said image, and
-compute said displacement of said object (12) as a distance between corresponding said points (18) of said object (12) in said point sets of said two color channels of said at least two color channels of said image.
21. The apparatus according to claim 16, wherein said frequency of vibration of points (18) on said object (12) is computed using a time wrapping algorithm.
22. The apparatus according to claim 22, wherein computing of said frequency using said time wrapping algorithm includes configuring said processor (15) to: -initialize a time period for obtaining position information of said point (18) on said vibrating object (12) in said at least two distinguishable color channels of said image,
-wrap said position information of said points (18) on said object (12) in said two color channels of said at least two color channels of said image into said time period,
-map the corresponding said points (18) of said object (12) in said point sets of said two color channels of said at least two color channels of said image at said time period, and -compute time period of a dominant cycle by equating wrap- time period of said points (18) with said time period.
23. The apparatus according to claim 22, wherein if said wrap time period is different of said time period, a time period corresponding to least value of error metric of said points (18) in said point sets of said object (12) in said at least two color channels of said image is computed.
24. The apparatus according to claim 23, wherein said error metric represents root mean square value of the distance between distinct consecutive said points (18) in said point set of said object (12) .
PCT/EP2009/065715 2009-01-30 2009-11-24 Measurement of vibration characteristics of an object WO2010086044A1 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
US13/146,969 US20120019654A1 (en) 2009-01-30 2009-11-24 Measurement of vibration characteristics of an object
JP2011546639A JP5368583B2 (en) 2009-01-30 2009-11-24 Measurement of vibration characteristics of objects
EP09799049.3A EP2384423B1 (en) 2009-01-30 2009-11-24 Measurement of vibration characteristics of an object
CN2009801561123A CN102301212B (en) 2009-01-30 2009-11-24 Measurement of vibration characteristics of object

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN171KO2009 2009-01-30
IN171/KOL/2009 2009-01-30

Publications (1)

Publication Number Publication Date
WO2010086044A1 true WO2010086044A1 (en) 2010-08-05

Family

ID=42269934

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2009/065715 WO2010086044A1 (en) 2009-01-30 2009-11-24 Measurement of vibration characteristics of an object

Country Status (5)

Country Link
US (1) US20120019654A1 (en)
EP (1) EP2384423B1 (en)
JP (1) JP5368583B2 (en)
CN (1) CN102301212B (en)
WO (1) WO2010086044A1 (en)

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130104661A1 (en) * 2011-10-31 2013-05-02 Raytheon Company Method and apparatus for range resolved laser doppler vibrometry
US8947647B2 (en) 2011-12-13 2015-02-03 Raytheon Company Range-resolved vibration using large time-bandwidth product LADAR waveforms
US8947644B2 (en) 2012-01-19 2015-02-03 Raytheon Company Using multiple waveforms from a coherent LADAR for target acquisition
US9057605B2 (en) 2012-12-06 2015-06-16 Raytheon Company Bistatic synthetic aperture ladar system
CN105386175A (en) * 2015-12-03 2016-03-09 江南大学 Online detection device and detection method of rough yarn uniformity of roving machine
CN105651377A (en) * 2016-01-11 2016-06-08 衢州学院 Video data mining-based non-contact object vibration frequency measurement method
US11457801B2 (en) 2016-07-26 2022-10-04 Sony Corporation Image processing device, image processing method, and endoscope system

Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2013185129A2 (en) * 2012-06-08 2013-12-12 Correlated Solutions, Inc. Optical non-contacting apparatus for shape and deformation measurement of vibrating objects using image analysis methodology
WO2016145406A1 (en) 2015-03-11 2016-09-15 Massachusetts Institute Of Technology Methods and apparatus for modeling deformations of an object
US9521365B2 (en) * 2015-04-02 2016-12-13 At&T Intellectual Property I, L.P. Image-based techniques for audio content
US10747768B2 (en) * 2016-06-14 2020-08-18 Fuji Xerox Co., Ltd. Data processing system and data processing method
US10380745B2 (en) * 2016-09-01 2019-08-13 Massachusetts Institute Of Technology Methods and devices for measuring object motion using camera images
EP3337157A1 (en) * 2016-12-15 2018-06-20 Tata Consultancy Services Limited System and method for detecting vibrations of a machine using a low frames per second (fps) camera
CN107238432A (en) * 2017-05-31 2017-10-10 武汉大学 One kind vibration Deformation Observation method, device and recording method
EP3462146A1 (en) * 2017-07-29 2019-04-03 Tata Consultancy Services Limited Systems and methods for autonomous stroboscopic machine inspection for multi-point and multi-frequency vibration measurement
EP3561464B1 (en) * 2018-04-24 2021-03-24 Tata Consultancy Services Limited Unobtrusive and automated detection of frequencies of spatially located distinct parts of a machine
EP3699562A1 (en) * 2019-01-27 2020-08-26 Tata Consultancy Services Limited Unobtrusive and automated detection of frequency of vibrating objects using multiple strobe sources
TWI756811B (en) * 2019-09-03 2022-03-01 日商新川股份有限公司 Vibration detection system
CN110736534A (en) * 2019-10-16 2020-01-31 福建省建筑工程质量检测中心有限公司 vibration displacement real-time measurement method based on common camera
CN117377860A (en) * 2021-06-03 2024-01-09 索尼集团公司 Measuring device, measuring method, and program

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6209396B1 (en) * 1998-02-16 2001-04-03 Polytec Gmbh Method and apparatus for two-dimensional vibration analysis
DE10063293A1 (en) * 2000-12-19 2002-07-04 Fraunhofer Ges Forschung Multi-channel inspection of moving surfaces involves synchronizing two radiation sources with image generation frequency of image acquisition device to alternately illuminate surface
US20080199068A1 (en) * 2007-01-10 2008-08-21 Duquette David W Inspection System
WO2009083655A1 (en) * 2007-12-31 2009-07-09 Metso Automation Oy Measuring of web

Family Cites Families (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63298065A (en) * 1987-05-28 1988-12-05 Babcock Hitachi Kk Speed measuring instrument for body
JPH02198324A (en) * 1989-01-27 1990-08-06 Nec Home Electron Ltd Vibration detecting apparatus
US5515730A (en) * 1992-11-23 1996-05-14 British Aerospace Plc Apparatus for detecting the amplitude, frequency or modes of vibration of a vibrating panel
JPH0727780A (en) * 1993-07-14 1995-01-31 Nissan Motor Co Ltd Measuring apparatus for flow velocity
CA2126380C (en) * 1993-07-22 1998-07-07 Wu Chou Minimum error rate training of combined string models
US5768420A (en) * 1994-01-21 1998-06-16 Lucent Technologies Inc. Method and apparatus for handwriting recognition using invariant features
JPH08122354A (en) * 1994-10-19 1996-05-17 Hitachi Ltd Method and apparatus for measuring flow velocity
US6401080B1 (en) * 1997-03-21 2002-06-04 International Business Machines Corporation Intelligent agent with negotiation capability and method of negotiation therewith
JP3559816B2 (en) * 1997-08-27 2004-09-02 独立行政法人 宇宙航空研究開発機構 Flow velocity measuring method and flow velocity measuring device
US7039228B1 (en) * 1999-11-19 2006-05-02 Rudolph Technologies, Inc. System and method for three-dimensional surface inspection
JP2001241919A (en) * 2000-03-01 2001-09-07 Yokogawa Electric Corp Device for measuring displacement
JP3867205B2 (en) * 2002-08-30 2007-01-10 カシオ計算機株式会社 Pointed position detection device, pointed position detection system, and pointed position detection method
JP2006512568A (en) * 2002-12-30 2006-04-13 オーチス　エレベータ　カンパニー Position reference system
US7477571B2 (en) * 2003-04-03 2009-01-13 Sri International Method for detecting vibrations in a biological organism using real-time vibration imaging
JP4466133B2 (en) * 2004-03-09 2010-05-26 横浜ゴム株式会社 Moving body measuring device
DE102004029552A1 (en) * 2004-06-18 2006-01-05 Peter Mäckel Method for visualizing and measuring oscillations of oscillating objects by means of a combination of a synchronized, stroboscopic image recording with image correlation method
JP4225952B2 (en) * 2004-07-09 2009-02-18 三菱電機株式会社 Micro vibration detector
US7473890B2 (en) * 2004-11-23 2009-01-06 New York University Manipulation of objects in potential energy landscapes
JP2007127525A (en) * 2005-11-04 2007-05-24 Aisin Aw Co Ltd Moving amount arithmetic unit
JP4822004B2 (en) * 2006-12-28 2011-11-24 カシオ計算機株式会社 Imaging apparatus and program thereof
JP5046004B2 (en) * 2007-03-20 2012-10-10 東京電力株式会社 Non-contact vibration measurement system, non-contact vibration measurement method, and computer program
US7961332B2 (en) * 2007-06-07 2011-06-14 Metrolaser, Inc. Fiber-optic heterodyne imaging vibrometer
JPWO2008156022A1 (en) * 2007-06-18 2010-08-26 康典 小野塚 Method and apparatus for measuring an object
TWI414748B (en) * 2009-01-23 2013-11-11 Univ Nat Taipei Technology Method for simultaneuos hue phase-shifting and system for 3-d surface profilometry using the same

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6209396B1 (en) * 1998-02-16 2001-04-03 Polytec Gmbh Method and apparatus for two-dimensional vibration analysis
DE10063293A1 (en) * 2000-12-19 2002-07-04 Fraunhofer Ges Forschung Multi-channel inspection of moving surfaces involves synchronizing two radiation sources with image generation frequency of image acquisition device to alternately illuminate surface
US20080199068A1 (en) * 2007-01-10 2008-08-21 Duquette David W Inspection System
WO2009083655A1 (en) * 2007-12-31 2009-07-09 Metso Automation Oy Measuring of web

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130104661A1 (en) * 2011-10-31 2013-05-02 Raytheon Company Method and apparatus for range resolved laser doppler vibrometry
US8947647B2 (en) 2011-12-13 2015-02-03 Raytheon Company Range-resolved vibration using large time-bandwidth product LADAR waveforms
US8947644B2 (en) 2012-01-19 2015-02-03 Raytheon Company Using multiple waveforms from a coherent LADAR for target acquisition
US9057605B2 (en) 2012-12-06 2015-06-16 Raytheon Company Bistatic synthetic aperture ladar system
CN105386175A (en) * 2015-12-03 2016-03-09 江南大学 Online detection device and detection method of rough yarn uniformity of roving machine
CN105651377A (en) * 2016-01-11 2016-06-08 衢州学院 Video data mining-based non-contact object vibration frequency measurement method
CN105651377B (en) * 2016-01-11 2018-12-07 衢州学院 A kind of non-contact object vibration frequency measurement method based on video data digging
US11457801B2 (en) 2016-07-26 2022-10-04 Sony Corporation Image processing device, image processing method, and endoscope system

Also Published As

Publication number Publication date
CN102301212B (en) 2013-08-14
EP2384423A1 (en) 2011-11-09
JP5368583B2 (en) 2013-12-18
JP2012516432A (en) 2012-07-19
CN102301212A (en) 2011-12-28
US20120019654A1 (en) 2012-01-26
EP2384423B1 (en) 2015-02-25

Similar Documents

Publication Publication Date Title
EP2384423B1 (en) Measurement of vibration characteristics of an object
US8107723B2 (en) Measurement of three-dimensional motion characteristics
US9262840B2 (en) Optical non-contacting apparatus for shape and deformation measurement of vibrating objects using image analysis methodology
US20050279172A1 (en) Visualization, measurement and analysis of vibrating objects
JP6328130B2 (en) Measurement of fiber orientation of carbon fiber materials and production of objects in carbon fiber composite structures
KR20100087089A (en) System and method for multiframe surface measurement of the shape of objects
CN103097879A (en) Method and device for analyzing the optical quality of a transparent substrate
US11763476B2 (en) System and method for determining operating deflection shapes of a structure using optical techniques
JP5611022B2 (en) Three-dimensional measuring apparatus and three-dimensional measuring method
CN107883889A (en) Vibration test 3 D deformation measurement apparatus and method based on laser speckle interferometry
Di Lorenzo et al. Full-field modal analysis using high-speed 3D digital image correlation
CN108050955A (en) Based on structured light projection and the relevant high temperature air disturbance filtering method of digital picture
CN114577444A (en) Detection method and detection device for modulation transfer function
JP2002286433A (en) Real-time shape measurement method and system of continuous traveling object
JPWO2021020062A5 (en)
JP2015007591A (en) Vehicle body rigidity test method and vehicle body rigidity test device
JP5375239B2 (en) Image processing apparatus, inspection apparatus for long objects, and computer program
KR20130002760A (en) Surface roughness measurement apparatus and method having intermediate view generator
Hochrainer A cost effective DIC system for measuring structural vibrations
RU2546714C2 (en) Method of contactless optical measurement of parameters of vibration of mechanisms, structures and biological objects
JP2018077135A (en) Vibration testing method and vibration testing apparatus
JP2006119099A (en) Device for measuring displacement of periodically movable object
CN113076517B (en) Hilbert transform-based civil engineering structure dynamic monitoring phase evaluation method
JP7359378B2 (en) Information board anomaly detection system
JPH0318727A (en) Vibration mode measuring and analyzing device and its analyzing method

Legal Events

Date Code Title Description
WWE Wipo information: entry into national phase

Ref document number: 200980156112.3

Country of ref document: CN

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 09799049

Country of ref document: EP

Kind code of ref document: A1

WWE Wipo information: entry into national phase

Ref document number: 2009799049

Country of ref document: EP

WWE Wipo information: entry into national phase

Ref document number: 3164/KOLNP/2011

Country of ref document: IN

WWE Wipo information: entry into national phase

Ref document number: 2011546639

Country of ref document: JP

NENP Non-entry into the national phase

Ref country code: DE

WWE Wipo information: entry into national phase

Ref document number: 13146969

Country of ref document: US