CN104317975A - Vibration multivariate remote early warning method of hydroelectric generating set - Google Patents
Vibration multivariate remote early warning method of hydroelectric generating set Download PDFInfo
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- CN104317975A CN104317975A CN201410671054.0A CN201410671054A CN104317975A CN 104317975 A CN104317975 A CN 104317975A CN 201410671054 A CN201410671054 A CN 201410671054A CN 104317975 A CN104317975 A CN 104317975A
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Abstract
The invention discloses a vibration multivariate remote early warning method of a hydroelectric generating set. According to the method, a running vibration basic knowledge base and a fault data base of the hydroelectric generating set are built; running vibration data of the hydroelectric generating set are remotely monitored and obtained; vibration in the running process of the hydroelectric generating set is remotely and early warned, and safe running of the set is maintained. The basic knowledge base comprises the set vibration data normal range and warning range information; the set fault data base comprises possible causes of fault generating, categories of faults and the like. The method has the advantages that the basic knowledge base and the fault data base of the hydroelectric generating set are built, and therefore when vibration data out of the normal range recorded in the basic knowledge base appear in the set, the fault causes can be found through quick comparison of the fault data base; the aim of rapidly positioning and solving the faults of the set is achieved; the fault processing efficiency is improved, and the normal running of the set is effectively ensured.
Description
Technical field
The invention belongs to hydro-electric power generating equipment technical field, be specifically related to a kind of Hydropower Unit vibration multivariate distant early warning method.
Background technology
Turbine-generator units safe and stable operation is related to hydroelectric power plant's safety and social public security, on August 17th, 2009, and the built maximum power station-Sa Yangshushensike power station of Russia there occurs major accident unprecedented in domestic and international hydraulic electricity history.Cause 75 people dead altogether, 13 people are missing, and unit and part factory building are ruined, and the loss of power station equipment, facility estimates about 7,000,000,000 roubles, and impact is difficult to estimate.According to the Russian side accident analysis report and domestic analysis expert, this accident is mainly caused by the excessive reason of unit vibration.
" Sa Yang " accident expose current hydroelectric power plant on impact safety unit vibration transfinite analysis and early warning there are serious problems, day by day move towards the background of " unattended; few man on duty " in hydroelectric power plant under, these problems bring very big hidden danger by giving the safe operation of power plant.
Summary of the invention
For grasping Hydropower Unit vibrational state in time, improve hydroelectric power plant's security protection ability, the present invention proposes a kind of Hydropower Unit vibration multivariate distant early warning method, to improve safe operation real-time early warning to Hydropower Unit and emergency response capability, prevent class " Sa Yang " accident from occurring.
In order to realize above-mentioned technical purpose, technical scheme of the present invention is, a kind of Hydropower Unit vibration multivariate distant early warning method, based on during unit operation produce amplitude, frequency, the phase place of vibration signal, distant early warning is carried out to unit operation situation, comprises the following steps:
Step one: the basic database setting up vibration data normal value and alarming value when comprising unit operation;
Step 2: the Mishap Database setting up failure cause corresponding when vibration data is abnormal when comprising unit operation;
Step 3: the numerical value in each for the unit of collection position vibration signal and basic database is compared, then be diagnosed as normal in numerical range, exceed numerical range, then in Mishap Database, carry out the matching analysis, the match is successful is then diagnosed as corresponding fault.
A kind of described Hydropower Unit vibration multivariate distant early warning method, in described step one, the data in the basic database of foundation comprise:
The norm standard numerical range of unit each position vibration, at the alarming value being no more than the measured value normal range under standard figures scope in actual motion, setting;
Wherein vibrating numerical comprises frame vibration amplitude, top cover vibration amplitude, frame vibration frequency, top cover vibration frequency, macro-axis Horizontal Vibration phase place.
A kind of described Hydropower Unit vibration multivariate distant early warning method, in described step 2, the abnormal reason of data frame vibration amplitude in the Mishap Database of foundation comprises that frame anchor bolt loosens, frame place guide bearing fault, unit are in that vibrating area runs, unit rotating part exists mechanical imbalance; The abnormal reason of top cover vibration amplitude comprises draft tube vortex rope, unit is in vibrating area operation, top cover handle closes bolt looseness.
A kind of described Hydropower Unit vibration multivariate distant early warning method, in described step 2, the abnormal reason of frame vibration frequency in the Mishap Database of foundation is that unit runs in vortex rope district; The abnormal reason of top cover vibration frequency is that unit stator or blade openings are uneven.
A kind of described Hydropower Unit vibration multivariate distant early warning method, in described step 2, the abnormal reason of macro-axis Horizontal Vibration phase place in the Mishap Database of foundation comprises top cover underwater portion and touches mill, thrust bearing fault
Technique effect of the present invention is, by setting up Hydropower Unit vibration primary knowledge base and Mishap Database, when there is the vibration data exceeding the normal range recorded in primary knowledge base in unit, namely by Mishap Database quick comparison looking up the fault reason, achieve the object that quick position solves unit fault, improve fault handling efficiency, effectively ensure that unit normally runs.
Embodiment
The present invention proposes a kind of Hydropower Unit vibration multivariate distant early warning method.The method is as follows:
Based on during unit operation produce amplitude, frequency, the phase place of vibration signal, distant early warning is carried out to unit operation situation, comprises the following steps:
Step one: set up basic database, the normal measurements (be not above standard value) in norm standard numerical value, at present the operation reality of classification input unit each position vibration in basic database, the alarming value arranged; Input the normal frequency value of each position vibration; Input the normal phase place value of each position vibration, these numerical value formation base databases.
Step 2: after classification input unit each position vibration amplitude exceedes normal measurements, norm standard numerical value, alarming value in Mishap Database, corresponding failure cause; Monitoring unit frame vibration.Machine set frame horizontal vibration amplitude exceedes normal value or alarming value, and its failure cause organic frame anchor bolt loosens, frame place guide bearing fault, unit are in vibrating area operation, unit rotating part exists mechanical imbalance; The vibration of monitoring top cover, top cover vibration is above standard value, and its failure cause has draft tube vortex rope, unit is in that vibrating area runs, top cover is conjunction bolt looseness.
Step 3: after classification input unit each position vibration frequency exceedes normal value in Mishap Database, corresponding failure cause; Monitoring unit frame vibration frequency, vibration frequency is lower than turning frequently, and failure cause is that unit runs in vortex rope district; Monitoring top cover vibration frequency, unit top cover horizontal vibration frequency exceedes normal value, and vibration frequency is stator number and the product turning frequency, and its failure cause is that unit stator or blade openings are uneven;
Step 4: after classification input unit each position vibration phase exceedes normal value in Mishap Database, corresponding failure cause; Monitoring unit macro-axis Horizontal Vibration phase place.Unit macro-axis Horizontal Vibration phase place exceedes normal value, and its failure cause is that top cover underwater portion touches mill, thrust bearing fault;
Step 5: the numerical value in each for the unit of collection position vibration signal and basic database is carried out amplitude, frequency, phase place compare of analysis, is then diagnosed as normal in numerical range.Exceed numerical range, then in Mishap Database, carry out the matching analysis, the match is successful is then diagnosed as corresponding fault.
Claims (5)
1. a Hydropower Unit vibration multivariate distant early warning method, is characterized in that, based on during unit operation produce amplitude, frequency, the phase place of vibration signal, distant early warning is carried out to unit operation situation, comprises the following steps:
Step one: the basic database setting up vibration data normal value and alarming value when comprising unit operation;
Step 2: the Mishap Database setting up failure cause corresponding when vibration data is abnormal when comprising unit operation;
Step 3: compared by the numerical value in each for the unit of collection position vibration signal and basic database, be then diagnosed as normal in numerical range, exceed numerical range, then mate in Mishap Database, the match is successful is then diagnosed as corresponding fault.
2. a kind of Hydropower Unit vibration multivariate distant early warning method according to claim 1, it is characterized in that, in described step one, the data in the basic database of foundation comprise:
The norm standard numerical range of unit each position vibration, at the alarming value being no more than the measured value normal range under standard figures scope in actual motion, setting;
Wherein vibrating numerical comprises frame vibration amplitude, top cover vibration amplitude, frame vibration frequency, top cover vibration frequency, macro-axis Horizontal Vibration phase place.
3. a kind of Hydropower Unit vibration multivariate distant early warning method according to claim 2, it is characterized in that, in described step 2, the abnormal reason of data frame vibration amplitude in the Mishap Database of foundation comprises that frame anchor bolt loosens, frame place guide bearing fault, unit are in that vibrating area runs, unit rotating part exists mechanical imbalance; The abnormal reason of top cover vibration amplitude comprises draft tube vortex rope, unit is in vibrating area operation, top cover handle closes bolt looseness.
4. a kind of Hydropower Unit vibration multivariate distant early warning method according to claim 2, it is characterized in that, in described step 2, the abnormal reason of frame vibration frequency in the Mishap Database of foundation is that unit runs in vortex rope district; The abnormal reason of top cover vibration frequency is that unit stator or blade openings are uneven.
5. a kind of Hydropower Unit vibration multivariate distant early warning method according to claim 2, it is characterized in that, in described step 2, the abnormal reason of macro-axis Horizontal Vibration phase place in the Mishap Database of foundation comprises top cover underwater portion and touches mill, thrust bearing fault.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105184059A (en) * | 2015-08-20 | 2015-12-23 | 国家电网公司 | Mass data based method for analyzing and assessing state of hydroelectric generating set |
| CN105372591A (en) * | 2015-09-28 | 2016-03-02 | 国家电网公司 | A transient process-based hydroelectric generating set health status quantitative evaluation method |
| CN105844420A (en) * | 2016-03-30 | 2016-08-10 | 中国南方电网有限责任公司 | Statistical method for vibration region crossing number and time of hydro-generator on daily basis |
| CN106762343A (en) * | 2016-12-29 | 2017-05-31 | 北京中元瑞讯科技有限公司 | The diagnostic method of the hydraulic generator set thrust bearing failure based on online data |
| CN107036819A (en) * | 2017-05-02 | 2017-08-11 | 大唐东北电力试验研究所有限公司 | The Turbo-generator Set remote oscillation fault diagnosis method and system of multi-parameter amendment |
| CN107607321A (en) * | 2017-09-06 | 2018-01-19 | 成都大汇物联科技有限公司 | A kind of equipment fault accurate positioning method |
| CN109030998A (en) * | 2018-07-19 | 2018-12-18 | 浙江浙能常山天然气发电有限公司 | A kind of intelligent transformer monitoring system based on three shaft vibration technologies |
| CN110907031A (en) * | 2019-12-04 | 2020-03-24 | 江苏方天电力技术有限公司 | Visual monitoring method for vibration variation of phase modulator based on data statistical analysis |
| CN112740129A (en) * | 2018-09-18 | 2021-04-30 | 卡迪赛姆公司 | Method for monitoring the operation of a machine generating vibrations and device for carrying out the method |
| CN114265389A (en) * | 2021-12-21 | 2022-04-01 | 北京华电云博科技有限公司 | Method for detecting compliance safety of hydraulic power plant |
| CN115065289A (en) * | 2022-07-28 | 2022-09-16 | 南方电网调峰调频发电有限公司检修试验分公司 | Collaborative maintenance method and system based on rotor magnetic pole defects |
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105184059A (en) * | 2015-08-20 | 2015-12-23 | 国家电网公司 | Mass data based method for analyzing and assessing state of hydroelectric generating set |
| CN105372591A (en) * | 2015-09-28 | 2016-03-02 | 国家电网公司 | A transient process-based hydroelectric generating set health status quantitative evaluation method |
| CN105844420A (en) * | 2016-03-30 | 2016-08-10 | 中国南方电网有限责任公司 | Statistical method for vibration region crossing number and time of hydro-generator on daily basis |
| CN106762343A (en) * | 2016-12-29 | 2017-05-31 | 北京中元瑞讯科技有限公司 | The diagnostic method of the hydraulic generator set thrust bearing failure based on online data |
| CN106762343B (en) * | 2016-12-29 | 2019-01-15 | 北京中元瑞讯科技有限公司 | The diagnostic method of hydraulic generator set thrust bearing failure based on online data |
| CN107036819A (en) * | 2017-05-02 | 2017-08-11 | 大唐东北电力试验研究所有限公司 | The Turbo-generator Set remote oscillation fault diagnosis method and system of multi-parameter amendment |
| CN107607321B (en) * | 2017-09-06 | 2019-11-05 | 成都大汇物联科技有限公司 | A kind of equipment fault accurate positioning method |
| CN107607321A (en) * | 2017-09-06 | 2018-01-19 | 成都大汇物联科技有限公司 | A kind of equipment fault accurate positioning method |
| CN109030998A (en) * | 2018-07-19 | 2018-12-18 | 浙江浙能常山天然气发电有限公司 | A kind of intelligent transformer monitoring system based on three shaft vibration technologies |
| CN112740129A (en) * | 2018-09-18 | 2021-04-30 | 卡迪赛姆公司 | Method for monitoring the operation of a machine generating vibrations and device for carrying out the method |
| CN110907031A (en) * | 2019-12-04 | 2020-03-24 | 江苏方天电力技术有限公司 | Visual monitoring method for vibration variation of phase modulator based on data statistical analysis |
| CN114265389A (en) * | 2021-12-21 | 2022-04-01 | 北京华电云博科技有限公司 | Method for detecting compliance safety of hydraulic power plant |
| CN115065289A (en) * | 2022-07-28 | 2022-09-16 | 南方电网调峰调频发电有限公司检修试验分公司 | Collaborative maintenance method and system based on rotor magnetic pole defects |
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