CN102434388B - Health status online monitoring device of wind generating set and monitoring method of monitoring device - Google Patents

Health status online monitoring device of wind generating set and monitoring method of monitoring device Download PDF

Info

Publication number
CN102434388B
CN102434388B CN2011103669324A CN201110366932A CN102434388B CN 102434388 B CN102434388 B CN 102434388B CN 2011103669324 A CN2011103669324 A CN 2011103669324A CN 201110366932 A CN201110366932 A CN 201110366932A CN 102434388 B CN102434388 B CN 102434388B
Authority
CN
China
Prior art keywords
signal
health status
wind
information
generation unit
Prior art date
Legal status (The legal status 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 status listed.)
Expired - Fee Related
Application number
CN2011103669324A
Other languages
Chinese (zh)
Other versions
CN102434388A (en
Inventor
高丙团
王�琦
汤奕
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Priority to CN2011103669324A priority Critical patent/CN102434388B/en
Publication of CN102434388A publication Critical patent/CN102434388A/en
Application granted granted Critical
Publication of CN102434388B publication Critical patent/CN102434388B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/70Wind energy
    • Y02E10/72Wind turbines with rotation axis in wind direction

Landscapes

  • Wind Motors (AREA)

Abstract

The invention discloses a health status online monitoring device of a wind generating set and a monitoring method of the monitoring device, wherein the monitoring device comprises a signal acquisition module, a signal preprocessing module, a data fusion module and a health status information output module. Firstly, acquiring signals of each component of the wind generating set, performing preprocessing to the acquired signals, performing data fusion processing to relevant data and extracting data foretaste information; under the action of an inference engine, matching the data information with the data information in an expert database, making a health status diagnosis decision and offering to users; taking relevant actions according to alarm messages or health status diagnosis decision information; The health status online monitoring device adopts multiple sensors to acquire the health status information of the wind generating set and can judge a component which is possible to have a fault in advance by threshold value control and data fusion and ensure the reliability and the accuracy of the health status diagnosis decision of the wind generating set.

Description

Wind power generating set health status on-Line Monitor Device and monitoring method thereof
Technical field
The present invention relates to a kind of monitoring device, particularly a kind of wind power generating set health status on-Line Monitor Device, belong to technical field of wind power generation.The invention still further relates to a kind of method of wind power generating set health status on-line monitoring.
Background technique
According to country's " New Energy Industry development planning " draft, the year two thousand twenty China wind-powered electricity generation total installation of generating capacity will reach 1.5 hundred million kilowatts, be 5 times of " planning of renewable energy sources Long-and Medium-term Development " target of issuing in 2007.According to planning, China will be in Gansu, 8 ten million multikilowatt wind-powered electricity generation bases are made in Xinjiang, Hebei, Jilin, the Inner Mongol, Jiangsu and provinces and regions, seven, Shandong.Jiuquan ten million multikilowatt wind-powered electricity generation construction of base planning total installation of generating capacity is 3,565 ten thousand kilowatts; 2,000 ten thousand kilowatts of Hami planning; 5,000 ten thousand kilowatts of Inner Mongol planning constructions, wherein cover 2,000 ten thousand kilowatts, west, covers 3,000 ten thousand kilowatts, east; Hebei planning is built together and is established 1,000 ten thousand kilowatts in coastal and northern territory; 1,000 ten thousand kilowatts of Jiangsu planning constructions, wherein coastal waters is 7,000,000 kilowatts; West Area of Jilin Province, mainly, in cities such as loose source and Baicheng, be planned for the year two thousand twenty and reach 2,300 ten thousand kilowatts.By the end of the year 2009, China's installed capacity of wind-driven power has reached 2,500 ten thousand kilowatts, leaps to global second.
China's wind-power electricity generation development is swift and violent, but in the primary stage, faces the multiple challenge of fault.Wind Power Generation Industry is expected to change to intensive farming from extensive operation, not only needs to improve electric motor power, more need realize high-yield and high-efficiency.Become the obstacle of realizing this goal and fan trouble is multiple, even had the tens of Fans of certain wind field barrier to be installed over several years for some reason and the never report of generating.More situation is that the blower fan reliability is lower; and lack the fault pre-alarming function, consequently less fault is failed to find, keeps in repair and develops into great safety and equipment accident, not only causes shutdown loss; and maintenance expenses sharply rises, and even may surpass its output expense.Therefore, occurred that certain blower fan MANUFACTURER causes enterprise's report of going bankrupt unable to make ends meet because guaranteeing to keep in good repair the multiple product of its fault abroad.Wind Power Generation Industry must be walked out this type of awkward situation.
The health status monitoring technology provides technical specifications for Wind Power Generation Industry breaks away from above-mentioned awkward situation.The basic purpose of health status monitoring is in time to find fault, the alarm prompt maintenance.Although it can not prevent that fault from occurring, and can prevent trouble before it happens.The health status monitoring technology is carried out health examination for wind power equipment incessantly, find that in time the state of an illness and guides timely treatment, can prevent that little disease from developing into serious disease, gets well with less cost, thereby keep fit and life-saving, bring into play larger economic benefit.
Main equipment structural health conditions monitoring technology is mainly used in the fields such as Aeronautics and Astronautics, bridge, building at present, the general mode by pre-buried multi-freedom degree sensor, the signals such as Real-Time Monitoring vibration acceleration, adopt Modal Parameters Identification, by Structure dynamic characteristics parameters such as identification frequency and dampings, the diagnosing health state, for the structural safety operation provides technical support.In wind power generation field, health status monitoring belongs to great innovation research content.
Existing so-called health status monitoring system, the overwhelming majority all is based on the fan vibration physical quantity, and the monitoring gimmick is single, and monitoring accuracy is lower, often can only be as personal monitoring's auxiliary device.
Summary of the invention
Technical problem to be solved by this invention is to provide a kind ofly can carry out to the wind-driven generator real-time running state method of on-line monitoring wind power generating set health status on-Line Monitor Device and wind power generating set health status on-line monitoring.
In order to solve above-mentioned technical problem, technological scheme of the present invention is: a kind of wind power generating set health status on-Line Monitor Device, and it comprises:
Signal acquisition module, described signal acquisition module comprises: be arranged on the vibration transducer that gathers the oscillating signal of each parts on the several parts of wind-powered electricity generation unit; Be arranged on the temperature transducer that gathers the temperature signal of each parts on wind-powered electricity generation unit parts; Be arranged on the oil quality sensor that wind-powered electricity generation unit fuel tank place gathers oily signal; Be arranged near the audio sensor that gathers each parts audio signal of wind-powered electricity generation unit parts; Be arranged on the stress strain gauge that gathers the blade stress strain signal on wind power generation unit blade; Be used for receiving the wind-powered electricity generation unit essential information acquisition module of wind-powered electricity generation unit essential information;
Signal pre-processing module,, by predefined threshold value, carry out pretreatment to the signal of signal acquisition module collection: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, if signal surpasses the setting threshold scope, by the health status information output module, directly to personal monitoring's platform, send warning message, perhaps according to controlling requirement, directly take to withdraw from the actions such as generator operation;
Data fusion module, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database system, makes health status diagnosis decision-making, offers the user;
The health status information output module, the information that provides according to signal pre-processing module and data fusion module is to the corresponding monitoring information of personal monitoring's platform output.
In described signal acquisition module, vibration transducer comprises: be arranged on wind power generation unit blade, main shaft and pylon, gather respectively the low-frequency shock transducer of mounting point oscillating signal; Be arranged on the intermediate frequency sensor that gathers the rotor oscillation signal on rotor shaft; Be arranged on wind-powered electricity generation set generator and gear-box, gather respectively the high frequency sensors of mounting point oscillating signal.
In described signal acquisition module, temperature transducer is arranged on box bearing, gear-box fuel tank, dynamo bearing, generator windings, reactor, capacitor, IGBT, rectifier, control cabinet or column foot control cabinet wind outlet port, is used for gathering the temperature signal of each mounting point.
Adopt discrete wavelet to remove signal noise to the current power signal in described signal pre-processing module, then by continuous wavelet, extract the signal characteristic frequency.
Be provided with self-learning module in described experts database system, health status diagnosis decision-making feeds back to experts database through self-learning module, and corresponding confidence factor is modified, and upgrades experts database; Self-learning module can be carried out reasoning to the disposing condition of system health status monitoring result according to the information in experts database and user, to obtain fresh information, sum up new experience, constantly expand experts database, realize the self-learning function of experts database system, thereby improve the diagnosis decision accuracy.
A kind of wind power generating set health status of the present invention on-line monitoring method comprises the steps:
1) gather each parts signal of wind-powered electricity generation unit, involving vibrations signal, oily signal, temperature signal, audio signal, ess-strain signal and current meteorology essential information;
2) signal that collects is carried out pretreatment, comprising: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, if signal surpasses the setting threshold scope, by the health status information output module, directly to personal monitoring's platform, send warning message, perhaps according to controlling requirement, directly take to withdraw from the actions such as generator operation;
3) related data is carried out Data Fusion, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database, make health status diagnosis decision-making, offer the user;
4) make corresponding action according to warning message or health status Diagnosis Decision.
Wind power generating set health status on-Line Monitor Device of the present invention and method, owing to adopting multiple sensors to gather the wind power generating set health status information, passing threshold is controlled and data fusion, can shift to an earlier date the contingent parts of failure judgement, reliability and the accuracy of wind-powered electricity generation unit health status monitoring diagnosis decision-making have been guaranteed, for the healthy operation of wind-powered electricity generation unit provides sufficient safety guarantee.
Description of drawings
The present invention is further detailed explanation below in conjunction with the drawings and specific embodiments.
Fig. 1 is the structured flowchart of wind power generating set health status on-Line Monitor Device;
Fig. 2 is wind power generating set health status on-line monitoring method flow chart;
Fig. 3 is fault current signal spectrum figure.
Embodiment
Wind power generating set health status on-Line Monitor Device as shown in Figure 1, comprising:
Signal acquisition module comprises: vibration transducer 1~n 1, be arranged on the several parts of wind-powered electricity generation unit to gather the oscillating signal of each parts; Temperature transducer 1~n 2, be arranged on the several parts of wind-powered electricity generation unit to gather the temperature signal of each parts; Oil quality sensor 1~n 3, be arranged on wind-powered electricity generation unit fuel tank and sentence the oily signal of collection; Audio sensor 1~n 4, be arranged on the several parts of wind-powered electricity generation unit neighbouring to gather the audio signal of each parts; Stress strain gauge 1~n 5, be arranged on wind power generation unit blade to gather the blade stress strain signal; Wind-powered electricity generation unit essential information acquisition module, be used for receiving wind-powered electricity generation unit environmental information and electric information.
Signal pre-processing module,, by predefined threshold value, carry out pretreatment to the signal of signal acquisition module collection: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, surpass the setting threshold scope as signal, by the health status information output module, directly to personal monitoring's platform, send warning message, also can directly take to withdraw from the actions such as generator operation according to controlling requirement.
Data fusion module, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database, makes health status diagnosis decision-making, offers the user.Add self-learning module in the experts database system, health status is diagnosed decision-making, through self-learning module, is fed back to experts database, and corresponding confidence factor is modified, and upgrades experts database.Simultaneously, self-learning module can be carried out reasoning to the disposing condition of system health status monitoring result according to the information in experts database and user, to obtain fresh information, sum up new experience, constantly expand experts database, realize the self-learning function of experts database system, thereby improve the diagnosis decision accuracy.
The health status information output module, the information that provides according to signal pre-processing module and data fusion module, to the corresponding monitoring information of personal monitoring's platform output, comprises alarm signal and health status diagnosis decision-making.
In described signal acquisition module, vibration transducer comprises: low-frequency shock transducer, be arranged on wind power generation unit blade, main shaft and pylon, and gather respectively the oscillating signal of mounting point; The intermediate frequency sensor, be arranged on rotor shaft, gathers the rotor oscillation signal; High frequency sensors, be arranged on the wind-powered electricity generation set generator and gear-box on, gather respectively the oscillating signal of mounting point.
In described signal acquisition module, temperature transducer is arranged on box bearing, gear-box fuel tank, dynamo bearing, generator windings, reactor, capacitor, IGBT, rectifier, control cabinet, the outlet of column foot control cabinet wind etc. and locates, and gathers the temperature signal of each mounting point.
The wind-powered electricity generation unit basic information packet of described signal acquisition module apoplexy group of motors essential information acquisition module collection is drawn together: ambient wind velocity, ambient temperature, phase voltage, phase current, wattless power, active power and mains frequency.
Can adopt discrete wavelet to remove signal noise to the current power signal in described signal pre-processing module, then by continuous wavelet, extract the signal characteristic frequency.
The present invention also provides wind power generating set health status on-line monitoring method, comprises the following steps as shown in Figure 2:
Gather each described parts signal of wind-powered electricity generation unit, involving vibrations signal, oily signal, temperature signal, audio signal, ess-strain signal and wind-powered electricity generation unit essential information.
The signal that collects is carried out pretreatment, comprising: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, surpass the setting threshold scope as signal, by the health status information output module, directly to personal monitoring's platform, send warning message, also can directly take to withdraw from the actions such as generator operation according to controlling requirement.
Related data is carried out Data Fusion, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database, make health status diagnosis decision-making, offer the user.
Make corresponding action according to described warning message or health status Diagnosis Decision.
For example: 1 10kW wind-driven generator, by at the additional certain mass object of rotor, coming analog mechanical disturbance or fault, be specially: at 0-120, normally move second, started at the 121st second, an additional 1kg addition (is approximately 0.3% on the rotor of its 292kg, the balancing mass grade that causes is G7.8, less than the low speed blower fan transmission shaft balance level G16 of IS01940-1:2003 regulation) continue 120 seconds.Current wind speed 8 meter per seconds, active power of output 3kW, rotor main shaft oscillating signal Threshold are [0,0.4] mm/second.
Signal Pretreatment is passed through, and enters data fusion module.Process through data, result of spectrum analysis as shown in Figure 3.Y coordinate represents the spectrum energy of signal after mechanical disturbance.Can obviously be found out by Fig. 3, saltus step occurred at 121 seconds in frequency spectrum, and is abnormal between 121~240 seconds,, by contrasting experts database frequency spectrum under identical operating mode (i.e. 0~60 second frequency spectrum in figure), finds out that generator amature is abnormal.The oscillating signal that gathers is, 0~120 second is 0.05~0.07 mm/second (fluctuation is arranged), and 121~240 seconds is 0.34~0.38 mm/second (fluctuation is arranged), and signal is all in threshold range.
Call the experts database relevant information, at ambient wind velocity 8 meter per seconds, under active power of output 3kW operating mode, the experts database vibration information is [0.02~0.16] mm/second, and 121~240 seconds information wave ranges that collect exceed the experts database threshold value.Oscillating signal and electric signal are carried out data fusion, and drawing diagnostic result is the rotor shaft fault, sends alarm signal, and output health status diagnosis decision-making.

Claims (6)

1. wind power generating set health status on-Line Monitor Device is characterized in that comprising:
Signal acquisition module, described signal acquisition module comprises: be arranged on the vibration transducer that gathers the oscillating signal of each parts on the several parts of wind-powered electricity generation unit; Be arranged on the temperature transducer that gathers the temperature signal of each parts on wind-powered electricity generation unit parts; Be arranged on the oil quality sensor that wind-powered electricity generation unit fuel tank place gathers oily signal; Be arranged near the audio sensor that gathers each parts audio signal of wind-powered electricity generation unit parts; Be arranged on the stress strain gauge that gathers the blade stress strain signal on wind power generation unit blade; Be used for receiving the wind-powered electricity generation unit essential information acquisition module of wind-powered electricity generation unit essential information;
Signal pre-processing module,, by predefined threshold value, carry out pretreatment to the signal of signal acquisition module collection: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, if signal surpasses the setting threshold scope, by the health status information output module, directly to personal monitoring's platform, send warning message, perhaps according to controlling, require directly to take to withdraw from the generator operation action;
Data fusion module, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database system, makes health status diagnosis decision-making, offers the user;
The health status information output module, the information that provides according to signal pre-processing module and data fusion module is to the corresponding monitoring information of personal monitoring's platform output.
2. a kind of wind power generating set health status on-Line Monitor Device according to claim 1, it is characterized in that in described signal acquisition module, vibration transducer comprises: be arranged on wind power generation unit blade, main shaft and pylon, gather respectively the low-frequency shock transducer of mounting point oscillating signal; Be arranged on the intermediate frequency sensor that gathers the rotor oscillation signal on rotor shaft; Be arranged on wind-powered electricity generation set generator and gear-box, gather respectively the high frequency sensors of mounting point oscillating signal.
3. a kind of wind power generating set health status on-Line Monitor Device according to claim 1, it is characterized in that: in described signal acquisition module, temperature transducer is arranged on box bearing, gear-box fuel tank, dynamo bearing, generator windings, reactor, capacitor, IGBT, rectifier, control cabinet or column foot control cabinet wind outlet port, is used for gathering the temperature signal of each mounting point.
4. a kind of wind power generating set health status on-Line Monitor Device according to claim 1, it is characterized in that: adopt discrete wavelet to remove signal noise to the current power signal in described signal pre-processing module, then by continuous wavelet, extract the signal characteristic frequency.
5. a kind of wind power generating set health status on-Line Monitor Device according to claim 1, it is characterized in that: be provided with self-learning module in described experts database system, health status diagnosis decision-making feeds back to experts database through self-learning module, and corresponding confidence factor is modified, upgrade experts database; Self-learning module can be carried out reasoning to the disposing condition of system health status monitoring result according to the information in experts database and user,, to obtain fresh information, sums up new experience, constantly expands experts database, realizes the self-learning function of experts database system.
6. a wind power generating set health status on-line monitoring method, is characterized in that comprising the steps:
1) gather each parts signal of wind-powered electricity generation unit, involving vibrations signal, oily signal, temperature signal, audio signal, ess-strain signal and current meteorology essential information;
2) signal that collects is carried out pretreatment, comprising: oscillating signal, audio signal and wind-powered electricity generation unit electrical current signal are amplified and filtering; Temperature signal, oily signal, ess-strain signal and wind-powered electricity generation unit electric breathing exercise rate signal are carried out threshold value relatively, if signal surpasses the setting threshold scope, by the health status information output module, directly to personal monitoring's platform, send warning message, perhaps according to controlling, require directly to take to withdraw from the generator operation action;
3) related data is carried out Data Fusion, extract data sign information, under the inference machine effect,, with the coupling of the data information in data information and experts database, make health status diagnosis decision-making, offer the user;
4) make corresponding action according to warning message or health status Diagnosis Decision.
CN2011103669324A 2011-11-17 2011-11-17 Health status online monitoring device of wind generating set and monitoring method of monitoring device Expired - Fee Related CN102434388B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN2011103669324A CN102434388B (en) 2011-11-17 2011-11-17 Health status online monitoring device of wind generating set and monitoring method of monitoring device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN2011103669324A CN102434388B (en) 2011-11-17 2011-11-17 Health status online monitoring device of wind generating set and monitoring method of monitoring device

Publications (2)

Publication Number Publication Date
CN102434388A CN102434388A (en) 2012-05-02
CN102434388B true CN102434388B (en) 2013-11-20

Family

ID=45982671

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2011103669324A Expired - Fee Related CN102434388B (en) 2011-11-17 2011-11-17 Health status online monitoring device of wind generating set and monitoring method of monitoring device

Country Status (1)

Country Link
CN (1) CN102434388B (en)

Families Citing this family (34)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102778358A (en) * 2012-06-04 2012-11-14 上海东锐风电技术有限公司 Failure prediction model establishing method and system as well as fan monitoring pre-warning system and method
CN102721924B (en) * 2012-06-26 2014-07-02 新疆金风科技股份有限公司 Fault early warning method of wind generating set
CN103645060B (en) * 2013-11-08 2016-05-04 北京能高自动化技术股份有限公司 Wind power generating set catastrophic failure identifying and diagnosing method based on condition monitoring system
CN103680094B (en) * 2013-12-31 2016-07-20 山东博安智能科技股份有限公司 The remote monitoring device of freeway monitoring system and information issuing method and monitoring method
CN104251719A (en) * 2014-09-30 2014-12-31 华北电力大学(保定) Vibration signal processing system with state monitoring function and method
CN104573307B (en) * 2014-10-14 2018-02-13 山东创德软件技术有限公司 A kind of power station state inline diagnosis and operation optimizing system based on data harmonization
CN105717887B (en) * 2014-12-05 2018-03-02 克拉玛依红有软件有限责任公司 Oil vapor treatment station intelligent early-warning system based on Internet of Things sensing data
CN104807644B (en) * 2015-04-14 2019-04-05 北京中恒博瑞数字电力科技有限公司 A kind of fault early warning method and system of paddle change system of wind turbines
CN104989594A (en) * 2015-06-20 2015-10-21 上海电机学院 Wind generating set vibration waveform collection system and method
CN105179179B (en) * 2015-07-15 2018-09-04 北京汉能华科技股份有限公司 A kind of the total state monitoring method and system of wind power generating set
CN105277234A (en) * 2015-09-27 2016-01-27 上海电机学院 System for monitoring state of blades of aerogenerator
CN106610345B (en) * 2015-10-27 2019-10-25 北京卫星环境工程研究所 A set of health status monitoring system for space-environment facility
CN106813923A (en) * 2015-11-30 2017-06-09 北京华清燃气轮机与煤气化联合循环工程技术有限公司 A kind of generator bearing failure detector and detection method
CN106014876A (en) * 2016-05-17 2016-10-12 沈阳工程学院 Fan monitoring device based on expert system
CN107786033A (en) * 2016-08-25 2018-03-09 中国航空工业集团公司西安飞行自动控制研究所 A kind of electromechanical actuator of health management function
CN106525415B (en) * 2016-10-25 2019-07-26 华北电力科学研究院有限责任公司 Health state evaluation system and method for transmission chain of wind turbine generator
CN106682814B (en) * 2016-11-28 2021-01-01 华北电力大学 Wind turbine generator fault intelligent diagnosis method based on fault knowledge base
CN106704102B (en) * 2016-12-29 2019-10-15 北京金风科创风电设备有限公司 Method and system for determining blade balance condition of wind generating set
CN109386435B (en) * 2017-08-04 2021-01-01 阿里巴巴集团控股有限公司 Wind turbine generator fault monitoring method, device and system
CN108301987B (en) * 2017-12-22 2020-03-17 浙江运达风电股份有限公司 Wind turbine generator system transmission shafting on-line observation system based on electrical parameters
CN108518315A (en) * 2018-03-20 2018-09-11 深圳众厉电力科技有限公司 A kind of Wind turbines intelligent monitor system based on cloud storage technology
CN108506171B (en) * 2018-03-20 2019-08-16 明阳智慧能源集团股份公司 A kind of large-scale half direct-drive unit cooling system for gear box fault early warning method
CN108614246A (en) * 2018-03-29 2018-10-02 西安电子工程研究所 A kind of Life cycle monitoring system of radar
CN108712756B (en) * 2018-05-17 2021-06-11 河海大学 Wind turbine generator system blade state monitoring network reliability analysis method
CN108894932B (en) * 2018-05-28 2020-07-10 国电联合动力技术有限公司 Intelligent diagnosis system and method for bearing fault of generator of wind turbine generator
CN109356798B (en) * 2018-11-08 2020-04-17 内蒙古科技大学 Wind driven generator gearbox state monitoring method based on co-integration analysis
CN109341780B (en) * 2018-11-29 2020-10-13 浙江省生态环境科学设计研究院 Multi-hand low-cost fan fault monitoring method
CN109763944B (en) * 2019-01-28 2021-03-12 中国海洋大学 Non-contact monitoring system and monitoring method for blade faults of offshore wind turbine
CN110455517B (en) * 2019-08-22 2021-05-18 苏州旋械感知信息科技有限公司 Tower barrel health monitoring method of wind generating set
CN113685322A (en) * 2020-05-17 2021-11-23 北京华信科创科技有限公司 Auxiliary control integrated acquisition module and auxiliary control platform for offshore wind generating set
CN112033476A (en) * 2020-09-21 2020-12-04 中船重工(上海)节能技术发展有限公司 Monitoring system and monitoring method for wind power boosting rotor
CN114763784A (en) * 2021-01-12 2022-07-19 北京国电电力新能源技术有限公司 On-line monitoring and fault early warning system for comprehensive health state of fan
CN114323643B (en) * 2021-12-31 2024-03-26 广东石油化工学院 Monitoring and adjusting device and method for rotary unit
TWI845272B (en) * 2023-04-20 2024-06-11 國立勤益科技大學 Wind turbine gearbox fault diagnosis method

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101232268A (en) * 2008-01-29 2008-07-30 西安交通大学 Control method for inhibiting input electric network power fluctuation in wind power generation system
CN101363420A (en) * 2007-08-10 2009-02-11 通用电气公司 Event monitoring via combination of signals
CN102102629A (en) * 2011-01-17 2011-06-22 东南大学 On-line data acquisition and analysis device of wind generating set
CN102168647A (en) * 2011-03-22 2011-08-31 苏州市思玛特电力科技有限公司 Online active power assessment method of wind-light cogeneration system based on meteorological information

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7013203B2 (en) * 2003-10-22 2006-03-14 General Electric Company Wind turbine system control
PT1531376E (en) * 2003-11-14 2007-03-30 Gamesa Innovation Technology S L Unipersonal Monitoring and data processing equipment for wind turbines and predictive maintenance system for wind power stations

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101363420A (en) * 2007-08-10 2009-02-11 通用电气公司 Event monitoring via combination of signals
CN101232268A (en) * 2008-01-29 2008-07-30 西安交通大学 Control method for inhibiting input electric network power fluctuation in wind power generation system
CN102102629A (en) * 2011-01-17 2011-06-22 东南大学 On-line data acquisition and analysis device of wind generating set
CN102168647A (en) * 2011-03-22 2011-08-31 苏州市思玛特电力科技有限公司 Online active power assessment method of wind-light cogeneration system based on meteorological information

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
状态监测与故障诊断在风电机组上的应用;龙泉等;《现代电力》;20081210;第25卷(第06期);第56-59页 *
龙泉等.状态监测与故障诊断在风电机组上的应用.《现代电力》.2008,第25卷(第06期),第56-59页.

Also Published As

Publication number Publication date
CN102434388A (en) 2012-05-02

Similar Documents

Publication Publication Date Title
CN102434388B (en) Health status online monitoring device of wind generating set and monitoring method of monitoring device
Artigao et al. Wind turbine reliability: A comprehensive review towards effective condition monitoring development
CN104019000B (en) The loading spectrum of wind power generating set is determined and perspective maintenance system
CN102622458B (en) Wind generating set vibration and load integration evaluating system and evaluation method
Spinato et al. Reliability of wind turbine subassemblies
Amirat et al. A brief status on condition monitoring and fault diagnosis in wind energy conversion systems
US8577509B2 (en) Method and a system for controlling operation of a wind turbine
Hashemian Wireless sensors for predictive maintenance of rotating equipment in research reactors
Zhang et al. A survey of condition monitoring and fault diagnosis toward integrated O&M for wind turbines
EP2290488B1 (en) A method and a system for adjusting alarm level of a component in a wind turbine
CN108331718A (en) Wind turbines yaw system monitors mechanism and fault diagnosis system and method on-line
CN102539538A (en) Method and system for monitoring wind turbine
JP6783110B2 (en) Predictive diagnostic device and power generation device control system with it
CN102352824B (en) Monitoring system based on electric information for health status of wind driven generator and monitoring method thereof
CN202326011U (en) State-monitoring and fault-diagnosis system of wind-power set
Wilkinson et al. Towards the zero maintenance wind turbine
CN114412685B (en) Bearing temperature analysis and anomaly monitoring method for hydroelectric generating set
Merizalde et al. Diagnosis of wind turbine faults using generator current signature analysis: A review
CN106523297A (en) Monitoring device of energy-saving wind generating set
Tchakoua et al. New trends and future challenges for wind turbines condition monitoring
CN202453182U (en) Fault diagnosis device of gearbox of wind generation set
CN113864208B (en) Intelligent monitoring and diagnosing method for operation state of desulfurization slurry circulating pump
CN104535928A (en) Simulator stand and state monitoring device for direct-driven wind turbine generator
CN116892489A (en) Fan transmission chain state monitoring method and system based on acoustic emission and vibration
CN204085911U (en) The fault diagnosis system of wind power generating set

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
DD01 Delivery of document by public notice

Addressee: Gao Bingtuan

Document name: Notification to Pay the Fees

DD01 Delivery of document by public notice

Addressee: Gao Bingtuan

Document name: Notification of Termination of Patent Right

DD01 Delivery of document by public notice
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20131120

Termination date: 20161117

CF01 Termination of patent right due to non-payment of annual fee