CN102953967A - Failure prewarning method for process fan of rolling mill continuous annealing unit - Google Patents
Failure prewarning method for process fan of rolling mill continuous annealing unit Download PDFInfo
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- CN102953967A CN102953967A CN2011102521387A CN201110252138A CN102953967A CN 102953967 A CN102953967 A CN 102953967A CN 2011102521387 A CN2011102521387 A CN 2011102521387A CN 201110252138 A CN201110252138 A CN 201110252138A CN 102953967 A CN102953967 A CN 102953967A
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Abstract
The invention relates to a rolling mill continuous annealing unit, and particularly relates to a process fan of a rolling mill continuous annealing unit. A failure prewarning method for the process fan of the rolling mill continuous annealing unit is characterized by comprising the following steps: acquiring a speed or current signal of a roller; taking the speed or current signal as a trigger signal, and acquiring a vibration signal when the trigger signal reaches a preset value; and comparing the speed or current signal exceeding the preset value with the vibration signal to calculate a prewarning value. According to the invention, the vibration caused by normal process change and the vibration caused by the failure of the fan can be accurately distinguished, thereby reducing false warning.
Description
Technical field
The present invention relates to milling train and even move back unit, relate in particular to milling train and connect the technique blower fan that moves back unit.
Background technique
To reaching smoothly product a process need to be arranged after newly-built cold-rolling continuous annealing unit commitment operation, during this period, equipment stable operation is crucial, and wherein the state recognizing of technique blower fan is important link.Fan trouble can cause the consequences such as production line stop, abnormal quality.
The generation of technique fan vibration has many reasons: the fault of blower fan itself such as bearing fault, impeller are uneven, loosening etc.; The vibration that technique causes such as air quantity adjustment, speed adjustment, correction process etc.
The vibration of technique blower fan may not characterize blower fan comprehensively and have fault, and how effectively the fault of judgement and early warning blower fan is the difficult problem that the diagnostic techniques personnel pay close attention to always.Blower fan was judged how to go to consider that from pure mechanical angle often cause the too much phenomenon of false alarm, most of mistake the police do not have effectively to distinguish manufacturing process to the influence factor of state in the past.
Summary of the invention
The present invention is intended to address the aforementioned drawbacks, and provides a kind of milling train to connect the technique fan trouble method for early warning that moves back unit.The present invention can accurately distinguish normal process and change the vibration that the vibration cause and the fault of blower fan own cause, and it is alert to reduce mistake.
For addressing the above problem, a kind of milling train of the present invention connects the technique fan trouble method for early warning that moves back unit, and it comprises: the speed or the current signal that gather roll;
As trigger signal, when trigger signal reaches predefined value, gather oscillating signal with speed or current signal;
To compare above speed or the current signal oscillating signal of predefined value, in the hope of early warning value.
Described milling train connects the technique fan trouble method for early warning that moves back unit, take rate signal during as trigger signal: the rate signal sample frequency is as 10ms, current data is done rolling average, when continuous 100 moving averages similar or less to last value, judge that then speed is steady, begin to gather fan vibration information this moment.
Described milling train connects the technique fan trouble method for early warning that moves back unit, describedly during as trigger signal, as stove Internal standard electric current, electric current is done 100 rolling averages with the FCS-1# roller with current signal, when average is relatively steady, triggering collection fan vibration state signal.
The present invention includes speed, the electric current of furnace rolls in the fan trouble Early-warning Model, and when the speed of furnace rolls, Current rise, the roller load increases, and causes the blower fan load to increase, the fan vibration aggravation.The present invention with speed or current signal as trigger condition, when trigger signal reaches a certain value, gather oscillating signal, so that oscillating signal can compare under the same operating condition, in the hope of early warning value, so just filtered out the impact of technological fluctuation on oscillating signal.
Embodiment
Because the collection signal condition is limited, so think that temporarily the technique operating mode is stablized when electric current and two factors of speed are stablized, blower fan early warning at this moment is reliable.The entrance blower fan is with entrance speed and the electric current basis for estimation that is as the criterion, and the central sections blower fan is take central sections speed and electric current as basis for estimation, and the outlet blower fan is take outlet section speed and electric current as basis for estimation.The method of these two factor stable states of judgement speed and electric current is as follows:
1, judges the speed stable state
Thinking: the spot sampling frequency is 10ms, current data is done rolling average, when continuous 100 moving averages of data during all greater than last value, judge that then speed is promoting, this moment, output condition was 1, and the fan vibration data transmission is not carried out in expression, when continuous 100 moving averages similar or less to last value, judge that then speed is steady, this moment, output condition 0 represented to begin to gather fan vibration information.
The specific algorithm code is as follows:
IF(ABS( MAVG (Xv, 10) -MAVG(X,100))>0.05,1,0)
Wherein Xv is the actual value of speed, and MAVG is the rolling average function, and 0.05 is gain coefficient;
The electric current stable state is judged
Find that through monitoring when the current load increase, when high loaded process, the fan vibration value also increases, so when the electric current high load, we do not consider to carry out the vibration values warning, only when electric current is mild, gather fan vibration alert status value.
Thinking: as stove Internal standard electric current, electric current is done 100 rolling averages with the FCS-1# roller, we do not gather the blower fan alarm signal when average reach a certain height, when average is relatively steady, and triggering collection fan vibration state;
The specific algorithm code is as follows:
IF (MAVG(Ｘe,100)>27.5,1,0)
Wherein Xe is actual current value, and MAVG is the rolling average function of current magnitude being done 100 rolling averages, and 27.5 is gain coefficient.
In sum, when electric current and speed simultaneously during stable state, trigger signal begins to gather the fan vibration early warning signal, and the early warning value of this moment is owing to be measured value of state under the stable state, so shown equipment early warning is true and reliable, final false code algorithm is as follows:
IF （ABS( MAVG (Xv, 10) -MAVG(Xv,100))>0.05 and MAVG(Ｘe,100)>27.5 ）
Then output 1 ；else output 0 ；
Wherein ABS is ABS function, and MAVG is the rolling average function.
The function formula of rolling average is as follows: Ft=(At-1+At-2+At-3+ ... + At-n)/the n formula in,
Ft--is to the predicted value of lower first phase;
The number in period of n--rolling average;
At-1--actual value in early stage;
At-2, At-3 and At-n represent that respectively front two phases, first three phase are until the actual value of front n phase.
Implementation is such: after the rate signal of furnace roller gathered with 100ms, system carried out rolling average continuous 100 times to these data, and absolute value is judged this speed for rising or descending during greater than last average, and oscillating signal does not gather at this moment; When furnace roller rate signal rolling average 100 times, average is without rising or during downward trend, representing that then speed is stable state in the stove, and oscillating signal begins to gather.It is implemented rolling average calculate, the result passes to mechanical acquisition system, and final judgement is finished by mechanical acquisition system, and the foreground is showed again.
The enforcement of having reached the standard grade of this model, the fault repeatedly such as successful early warning entrance fog discharge blower fan, SCF2# blower fan owing in time process, has been saved dead time, is that unit produces line and produces smoothly the condition of having made.
Claims (3)
1. a milling train connects the technique fan trouble method for early warning that moves back unit, it is characterized in that it comprises: the speed or the current signal that gather roll;
As trigger signal, when trigger signal reaches predefined value, gather oscillating signal with speed or current signal;
To compare above speed or the current signal oscillating signal of predefined value, in the hope of early warning value.
2. milling train according to claim 1 connects the technique fan trouble method for early warning that moves back unit, it is characterized in that, take rate signal during as trigger signal: the rate signal sample frequency is as 10ms, current data is done rolling average, when continuous 100 moving averages similar or less to last value, judge that then speed is steady, begin to gather fan vibration information this moment.
3. milling train according to claim 1 connects the technique fan trouble method for early warning that moves back unit, it is characterized in that, described with current signal during as trigger signal, with the FCS-1# roller as stove Internal standard electric current, electric current is done 100 rolling averages, when average is relatively steady, triggering collection fan vibration state signal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011102521387A CN102953967A (en) | 2011-08-30 | 2011-08-30 | Failure prewarning method for process fan of rolling mill continuous annealing unit |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2011102521387A CN102953967A (en) | 2011-08-30 | 2011-08-30 | Failure prewarning method for process fan of rolling mill continuous annealing unit |
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| CN102953967A true CN102953967A (en) | 2013-03-06 |
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| CN2011102521387A Pending CN102953967A (en) | 2011-08-30 | 2011-08-30 | Failure prewarning method for process fan of rolling mill continuous annealing unit |
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Citations (5)
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| JPS60150491A (en) * | 1984-01-18 | 1985-08-08 | Ebara Corp | Abnormal operation concentrated predictor for pump |
| US6532392B1 (en) * | 1996-03-28 | 2003-03-11 | Rosemount Inc. | Transmitter with software for determining when to initiate diagnostics |
| EP1531376A1 (en) * | 2003-11-14 | 2005-05-18 | Gamesa Eolica, S.A. (Sociedad Unipersonal) | Monitoring and data processing equipment for wind turbines and predictive maintenance system for wind power stations |
| CN101672723A (en) * | 2009-10-28 | 2010-03-17 | 北京中能联创风电技术有限公司 | Method and system for analyzing vibration and diagnosing failure for wind generating set |
| CN102059256A (en) * | 2010-11-26 | 2011-05-18 | 首钢总公司 | Equipment operating and process quality state monitoring system for high-speed rolling mill |
-
2011
- 2011-08-30 CN CN2011102521387A patent/CN102953967A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS60150491A (en) * | 1984-01-18 | 1985-08-08 | Ebara Corp | Abnormal operation concentrated predictor for pump |
| US6532392B1 (en) * | 1996-03-28 | 2003-03-11 | Rosemount Inc. | Transmitter with software for determining when to initiate diagnostics |
| EP1531376A1 (en) * | 2003-11-14 | 2005-05-18 | Gamesa Eolica, S.A. (Sociedad Unipersonal) | Monitoring and data processing equipment for wind turbines and predictive maintenance system for wind power stations |
| CN101672723A (en) * | 2009-10-28 | 2010-03-17 | 北京中能联创风电技术有限公司 | Method and system for analyzing vibration and diagnosing failure for wind generating set |
| CN102059256A (en) * | 2010-11-26 | 2011-05-18 | 首钢总公司 | Equipment operating and process quality state monitoring system for high-speed rolling mill |
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Application publication date: 20130306 |