CN202735788U - Wind generating set running state remote-monitoring and fault diagnosis system - Google Patents
Wind generating set running state remote-monitoring and fault diagnosis system Download PDFInfo
- Publication number
- CN202735788U CN202735788U CN2012201301801U CN201220130180U CN202735788U CN 202735788 U CN202735788 U CN 202735788U CN 2012201301801 U CN2012201301801 U CN 2012201301801U CN 201220130180 U CN201220130180 U CN 201220130180U CN 202735788 U CN202735788 U CN 202735788U
- Authority
- CN
- China
- Prior art keywords
- data
- subsystem
- fault diagnosis
- analysis
- module
- 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 - Lifetime
Links
Images
Classifications
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
- Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
- Y02P90/02—Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS]
Landscapes
- Wind Motors (AREA)
Abstract
The utility model discloses a wind generating set running state remote-monitoring and fault diagnosis system. The system comprises a sensor subsystem for collecting mechanical oscillation, torque signals and electric signals in a wind generating set, a data collecting and analyzing subsystem applied for data processing and connected with the sensor subsystem and a wind generating set brake system, a state-monitoring and fault diagnosis service subsystem applied for receiving and storing data from the data collecting and analyzing subsystem and further applied for detection and analysis, and a monitoring diagnosing workstation connected with the state-monitoring and fault diagnosis service subsystem through an optical network or a wireless network. The system which can achieve a multi-path data acquisition function can collect mechanical oscillation and torque data of the wind generating set and control the running parameters of the subsystems. The system further performs operation processing on the collected signals and then carries out fault diagnosis before alarming. In case of a severe alert, an emergency brake system of the set can be further started so as to protect equipments.
Description
Technical field
The utility model relates to the mechanical fault diagnosis system, specifically, relates to the remote monitoring of a kind of wind power generating set running status and fault diagnosis system.
Background technology
With respect to other regenerative resources, wind-power electricity generation is all advantageous aspect technology maturity, infrastructure construction and cost.Can estimate that wind energy will bring into play extremely important effect in the future world energy structure.But, along with putting into operation of large-scale wind power field, a lot of operation troubless have also appearred.Wind-powered electricity generation will be obtained long-term stability development as a kind of new technology, just must constantly reduce cost.Will reduce manufacturing, installation cost on the one hand, a very important aspect is to reduce operation expense in addition.Condition monitoring and fault diagnosis is to reduce the maintenance of wind-powered electricity generation unit and the most effective mode of running cost.
But at present, domestic wind field only has small part that wind energy conversion system on-line monitoring and fault diagonosing system has been installed, and mostly is greatly external product, and is in the trial run stage, and service is not enough.In addition, domestic and international existing fault diagnosis system is that certain or some equipment for the wind-powered electricity generation unit carries out monitoring, diagnosing mostly, can not monitor the failure condition of whole wind power generating set fully.Therefore, be necessary to set up remote monitoring and fault diagnosis expert system, for the typical fault type of wind-powered electricity generation unit, real-time, continuous, on-line monitoring associated safety performance parameter realize data autostore, automatic fault diagnosis and network communication.
The utility model content
The purpose of this utility model is to provide the remote monitoring of a kind of wind power generating set running status and fault diagnosis system; this system can realize the multi-channel data acquisition function; can gather the operational factor of mechanical vibration, moment of torsion and the control system of wind-powered electricity generation unit; the signal that gathers is carried out fault diagnosis through after the calculation process; and can send warning; when serious warning, also can start the emergency braking system of unit, with protection equipment.
The purpose of this utility model realizes by following technical measures: the remote monitoring of a kind of wind power generating set running status and fault diagnosis system comprise for gathering the wind power generating set mechanical vibration, the sensor subsystem of torque signal and electric signal, the data collection and analysis subsystem that is used for the data processing and is connected with wind power generating set machine brake system with sensor subsystem, be used for to receive and storage from the data of data collection and analysis subsystem and detect the condition monitoring and fault diagnosis service subsystem of analysis, and the monitoring, diagnosing workstation that is connected with described condition monitoring and fault diagnosis service subsystem by fiber optic network or wireless network; The data output end of described sensor subsystem is connected with data collection and analysis subsystem data input pin and the signal that gathers is sent to the data collection and analysis subsystem, described data collection and analysis subsystem data output end is connected with the data input pin of condition monitoring and fault diagnosis service subsystem, the data collection and analysis subsystem carries out the data processing and then data is sent to the condition monitoring and fault diagnosis service subsystem the signal from sensor subsystem, by the condition monitoring and fault diagnosis service subsystem data that receive are detected analysis and make fault diagnosis, when the diagnostic result signal that gives the alarm when breaking down, notify operating personnel to carry out the Wind turbine brake operation.
Sensor subsystem described in the utility model comprises the sensor that several are connected with the data input pin of data collection and analysis subsystem respectively, described several sensors are arranged at respectively on cabin, main shaft, gear case and the generator and generator electric power outlet line of each wind energy conversion system of wind power generating set, gather vibration signal, torsional vibration signals, tach signal, moment of torsion and frequency signal, current signal and the voltage signal of cabin, main shaft, gear case and the generator of wind energy conversion system.
Described sensor comprises low-frequency acceleration sensor, acceleration transducer, speed probe, torque sensor and current-voltage transformer.
Data collection and analysis subsystem described in the utility model comprises for the signal to sensor subsystem and carries out anti-mixing and filtering, the pretreated data preprocessing module such as signal compensation, be used for carrying out FFT through the pretreated data of data preprocessing module, data collection and analysis module and the communication module of wavelet transformation and time domain index computing, the data input pin of described data preprocessing module is connected with the data output end of sensing subsystem, its data output end then is connected with the data input pin of described data collection and analysis module, the data output end of described data collection and analysis module is connected with the data input pin of described communication module, the data output end of described communication module is connected with the data input pin of described condition monitoring and fault diagnosis service subsystem, after the data preprocessing module reception is carried out pre-service from the signal of sensor subsystem and to it, again data are sent to the data collection and analysis module and carry out FFT, wavelet transformation and time domain index computing, and then operation result is transferred to the condition monitoring and fault diagnosis service subsystem by communication module carry out fault diagnosis.
Condition monitoring and fault diagnosis service subsystem described in the utility model is by the Web subsystem, data memory module, module composition is disposed in monitoring modular and diagnosis, the data output end of described data collection and analysis subsystem is connected with data memory module by the Web subsystem, monitoring modular is disposed module and is connected with data memory module respectively with being connected, transfer in the database servo module through the Web subsystem from the data of data collection and analysis subsystem and to store, monitoring modular is to the data analysis in the data memory module, and analysis result is stored in the data memory module, diagnosis is disposed module and is then passed through temperature according to the analysis result of monitoring modular, pressure, moment of torsion, wind speed, electric current, the dynamic response of a plurality of parameters such as electric power and the corresponding relation between the various faults, and the threshold curve of parameter and parameter rate of change comes tracing trouble, and if give the alarm when being diagnosed as fault.
Described diagnosis is disposed module and is comprised dynamic equilibrium instrument submodule, the warning submodule of disposing for fault and the expert diagnosis submodule that is used for carrying out forward inference and diagnostic result inquiry, described dynamic equilibrium instrument submodule, warning submodule are connected with data memory module respectively with the expert diagnosis submodule, and data are carried out diagnostic analysis and diagnostic result is returned to data memory module.
The utility model can be done following improvement: the data input pin of described communication module is connected interface and is connected with the wind-force electrical machinery set control system, described communication module gathers the run signal of wind-force electrical machinery set control system and signal is passed to the condition monitoring and fault diagnosis service subsystem and carries out fault diagnosis.The run signal of described wind-force electrical machinery set control system comprises temperature, pressure, wind speed and power etc.
The utility model can be further improved: described data collection and analysis subsystem also comprises the signal controlling module; this signal controlling module is connected with the brake system of wind electricity unit; be used for to receive by the brake instruction of assigning from the condition monitoring and fault diagnosis subsystem of communication module transmission and with it and pass to the brake system of wind electricity unit; carry out brake by brake system, to reach the purpose of emergency stop when equipment is dangerous.
The utility model compared with prior art has advantages of:
1. sensor subsystem of the present utility model is arranged on the cabin of each wind energy conversion system of wind power generating set, main shaft, on gear case and generator and the generator electric power outlet line, has the multi-channel data acquisition function, can gather the mechanical vibration of wind-powered electricity generation unit, the operational factor of moment of torsion and control system etc., and will send to the condition monitoring and fault diagnosis service subsystem after the signal process calculation process that gather, can carry out data fusion to the signal from multisensor by the condition monitoring and fault diagnosis service subsystem, realize Accurate Diagnosis and localization of fault to wind-powered electricity generation unit typical fault.The alarming value of above-mentioned signal can be set on the condition monitoring and fault diagnosis service subsystem, and signal and the alarming value that gathers compared, the output alarm result simultaneously can be according to system state, change the part operation management of wind power plant, with the Reduction of failure risk; This system also has the protection output function, can communicate with the emergency braking system of wind power generating set, when running into serious warning, starts the emergency braking system of wind power generating set, with protection equipment under precarious position.
2. the utility model can be installed in the data collection and analysis subsystem on the wind power generating set equipment, has reduced transducing signal and control signal at long risk of missing apart from course of conveying.
3. use the utility model can greatly reduce the maintenance cost of wind-powered electricity generation unit.
Description of drawings
Fig. 1 is the general illustration of wind power generating set running status of the present utility model remote monitoring and fault diagnosis system.
Fig. 2 is the sensor subsystem scheme of installation of wind power generating set running status of the present utility model remote monitoring and fault diagnosis system.
Fig. 3 is the data collection and analysis subsystem schematic diagram of wind power generating set running status of the present utility model remote monitoring and fault diagnosis system.
Fig. 4 is the condition monitoring and fault diagnosis service subsystem schematic diagram of wind power generating set running status of the present utility model remote monitoring and fault diagnosis system.
Embodiment
Below in conjunction with accompanying drawing the specific embodiment of the present invention is described, so that those skilled in the art better understands the present invention.
Wind power generating set running status remote monitoring shown in Fig. 1 ~ 4 and fault diagnosis system are embodiment of the present utility model.As shown in Figure 1, this system is made of sensor subsystem 00, data collection and analysis subsystem 10, condition monitoring and fault diagnosis service subsystem 20 and 30 4 parts of monitoring, diagnosing workstation.
As shown in Figure 2, the main involving vibrations sensor of sensor subsystem and electric signal sensor two parts.Wherein, the sensor arrangement of vibration transducer part is as follows: low-frequency acceleration sensor A, be positioned at the cabin front end, and be used for gathering the transverse vibration signal of cabin front end; Low-frequency acceleration sensor B is positioned at wind energy conversion system main spindle front bearing seat, in order to gather the radial vibration signal of front bearing y direction; Low-frequency acceleration sensor C is positioned at wind energy conversion system main spindle front bearing seat, in order to gather the radial vibration signal of front bearing x direction; Low-frequency acceleration sensor D is positioned at wind energy conversion system mainshaft rear bearing seat, in order to gather the radial vibration signal of rear bearing y direction; Low-frequency acceleration sensor E is positioned at wind energy conversion system mainshaft rear bearing seat, in order to gather the radial vibration signal of rear bearing x direction; Low-frequency acceleration sensor F is for the axial vibration signal that gathers cabin and pylon; Acceleration transducer G is positioned at the gear case front end, gathers the vibration signal of gear case front end x direction; Acceleration transducer H is positioned at the gear case middle part, gathers the vibration signal of gear case, so that the Vibration Condition of reaction internal gear; Acceleration transducer I is positioned at the gear case rear end, gathers the vibration signal of gear case rear end x direction; Acceleration transducer J is positioned at the front end bearing block of generator, gathers the Vibration Condition of the front end bearing x direction of generator; Acceleration transducer K is positioned at generator rear end bearing seat, gathers the Vibration Condition of generator rear end bearing x direction; Low-frequency acceleration sensor L is positioned at the rear end in cabin, gathers transverse vibration and the torsional vibration signals in cabin; Acceleration transducer M is positioned at generator rear end bearing seat, gathers the Vibration Condition of generator rear end bearing y direction; Acceleration transducer N is positioned at gear case front end y direction; Acceleration transducer O is positioned at gear case rear end y direction; Acceleration transducer P is positioned at the front end bearing block of generator, gathers the Vibration Condition of the front end bearing y direction of generator.And the arrangement of electric signal sensor is as follows: current transformer Q, R, S are used for respectively gathering the three-phase current signal of generator; Voltage transformer (VT) T, U, V are used for respectively gathering the generator three-phase voltage signal, and this electric current and voltage signal can obtain active power and the reactive power signals of generator simultaneously through after calculating.
As shown in Figure 3, data collection and analysis subsystem 10 mainly is comprised of data preprocessing module 11, data collection and analysis module 12, communication module 13 and signal controlling module 14 4 parts.The data communication devices such as the vibration signal of the cabin of the wind power generating set of each sensor collection, pylon and generator etc., torsional vibration signals, voltage signal and current signal are crossed cable and are passed to data preprocessing module 11 in the sensor subsystem 00, and to data carry out the early stage processing, data after the processing pass to data analysis again and acquisition module 12 carries out data calculating, through communication module 13 data that calculate are passed to condition monitoring and fault diagnosis subsystem 20 afterwards.Control system of wind turbines interface 400 can pass to communication module 13 by standard interfaces such as modelbus with temperature, pressure and the wind speed etc. of wind energy conversion system, then passes to condition monitoring and fault diagnosis subsystem 20.Signal controlling module 14 is connected with the brake system 401 of wind energy conversion system, when the needs brake, condition monitoring and failure diagnosis system 20 can be issued signal controlling module 14 with order by communication module 13, with the brake system of control wind energy conversion system, carries out brake.
As shown in Figure 4, condition monitoring and fault diagnosis service subsystem 20, is disposed module 24 by Web subsystem 21, data memory module 22, monitoring modular 23 and diagnosis and is consisted of as hardware foundation with intelligent computer.Data collection and analysis subsystem 10 passes to Web subsystem 21 with data, deposits in the data memory module 22, then disposes 24 pairs of data of module by monitoring modular 23 and diagnosis and carries out the detection and diagnosis disposal.Monitoring modular 23 provides some means of numerical analysis, and the fundamental surveillance analysis means is arranged: main watch circle, vibrating head figure, time domain waveform, spectrum analysis, correlation analysis, orbit of shaft center, shaft core position, axle vibration shape line etc.; The analysis means that provides of promising ball bearing also: amplitude domain index, cepstral analysis, Envelope Analysis; Also have non-steady process analysis procedure analysis instrument: short time FFT transform, Wigner analyze, the small echo gray-scale map.Diagnosis is disposed module 24 and mainly is comprised of warning submodule 241, expert diagnosis submodule 242, dynamic balance tool submodule 243.Wherein, expert diagnosis submodule 242 is comprised of forward inference secondary submodule 2421 and diagnostic result inquiry secondary submodule 2422, the data results in the module 24 receive data memory modules 22 is disposed in diagnosis, carrying out fault diagnosis by forward inference submodule 2421 judges, and diagnostic result is saved in the data memory module 22, and notice warning submodule 241 sends alerting signal.And diagnostic result inquiry secondary submodule 2422 is connected with monitoring, diagnosing workstation 30 by network, carries out the inquiry of diagnostic result for the staff.
The utility model can be summarized with other the concrete form without prejudice to spirit of the present utility model or principal character.Above-mentioned embodiment of the present utility model all can only be thought explanation of the present utility model rather than restriction, therefore every foundation essence technology of the present utility model all belongs in the scope of technical solutions of the utility model any trickle modification, equivalent variations and modification that above embodiment does.
Claims (2)
1. wind power generating set running status remote monitoring and fault diagnosis system, it is characterized in that, comprise for gathering the wind power generating set mechanical vibration, the sensor subsystem of torque signal and electric signal, be used for the data collection and analysis subsystem that data are processed and are connected with the wind power generating set brake system, be used for to receive and be connected from the data of data collection and analysis subsystem and detect the condition monitoring and fault diagnosis service subsystem of analysis and pass through fiber optic network or monitoring, diagnosing workstation that wireless network is connected with described condition monitoring and fault diagnosis service subsystem; The data output end of described sensor subsystem is connected with data collection and analysis subsystem data input pin and the signal that gathers is sent to the data collection and analysis subsystem, described data collection and analysis subsystem data output end is connected with the data input pin of condition monitoring and fault diagnosis service subsystem, the data collection and analysis subsystem carries out the data processing and then data is sent to the condition monitoring and fault diagnosis service subsystem the signal from sensor subsystem, by the condition monitoring and fault diagnosis service subsystem data that receive are detected analysis and make fault diagnosis, when the diagnostic result signal that gives the alarm when breaking down, notify operating personnel to carry out the Wind turbine brake operation.
2. wind power generating set running status according to claim 1 remote monitoring and fault diagnosis system, it is characterized in that, described sensor subsystem comprises the sensor that several are connected with the data input pin of data collection and analysis subsystem respectively, described several sensors are arranged at respectively the cabin of each wind energy conversion system of wind power generating set, main shaft, on gear case and generator and the generator electric power outlet line, gather the cabin of wind energy conversion system, main shaft, the vibration signal of gear case and generator, torsional vibration signals, tach signal, moment of torsion and frequency signal, current signal and voltage signal.
3. wind power generating set running status according to claim 2 remote monitoring and fault diagnosis system, it is characterized in that, described sensor comprises low-frequency acceleration sensor, acceleration transducer, speed probe, torque sensor and current-voltage transformer.
4. according to claim 1 and 2 or 3 remote monitoring of described wind power generating set running status and fault diagnosis systems, it is characterized in that, described data collection and analysis subsystem comprises for the signal to sensor subsystem and carries out anti-mixing and filtering and the pretreated data preprocessing module of signal compensation, be used for carrying out FFT through the pretreated data of data preprocessing module, data collection and analysis module and the communication module of wavelet transformation and time domain index computing, the data input pin of described data preprocessing module is connected with the data output end of sensing subsystem, its data output end then is connected with the data input pin of described data collection and analysis module, the data output end of described data collection and analysis module is connected with the data input pin of described communication module, the data output end of described communication module is connected with the data input pin of described condition monitoring and fault diagnosis service subsystem, after the data preprocessing module reception is carried out pre-service from the signal of sensor subsystem and to it, again data are sent to the data collection and analysis module and carry out FFT, wavelet transformation and time domain index computing, and then operation result is transferred to the condition monitoring and fault diagnosis service subsystem by communication module carry out fault diagnosis.
5. wind power generating set running status according to claim 4 remote monitoring and fault diagnosis system, it is characterized in that, described condition monitoring and fault diagnosis service subsystem is by the Web subsystem, data memory module, module composition is disposed in monitoring modular and diagnosis, the data output end of described data collection and analysis subsystem is connected with data memory module by the Web subsystem, monitoring modular is disposed module and is connected with data memory module respectively with being connected, transfer in the database servo module through the Web subsystem from the data of data collection and analysis subsystem and to store, monitoring modular is to the data analysis in the data memory module, and analysis result is stored in the data memory module, diagnosis is disposed module and is then passed through temperature according to the analysis result of monitoring modular, pressure, moment of torsion, wind speed, the dynamic response of electric current and a plurality of parameters of electric power and the corresponding relation between the various faults, and the threshold curve of parameter and parameter rate of change comes tracing trouble, and if give the alarm when being diagnosed as fault.
6. wind power generating set running status according to claim 5 remote monitoring and fault diagnosis system, it is characterized in that, the expert diagnosis submodule that is used for dynamic equilibrium instrument submodule, the warning submodule of fault disposal and is used for carrying out forward inference and diagnostic result inquiry, described dynamic equilibrium instrument submodule, warning submodule are connected with data memory module respectively with the expert diagnosis submodule, and data are carried out diagnostic analysis and diagnostic result is returned to data memory module.
7. wind power generating set running status according to claim 6 remote monitoring and fault diagnosis system, it is characterized in that, the data input pin of described communication module is connected interface and is connected with the wind-force electrical machinery set control system, described communication module gathers the run signal of wind-force electrical machinery set control system and signal is passed to the condition monitoring and fault diagnosis service subsystem and carries out fault diagnosis.
8. wind power generating set running status according to claim 7 remote monitoring and fault diagnosis system, it is characterized in that, described data collection and analysis subsystem also comprises the signal controlling module, this signal controlling module is connected with the brake system of wind electricity unit, be used for to receive by the brake instruction of assigning from the condition monitoring and fault diagnosis subsystem of communication module transmission and with it and pass to the brake system of wind electricity unit, carry out brake by brake system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012201301801U CN202735788U (en) | 2012-03-31 | 2012-03-31 | Wind generating set running state remote-monitoring and fault diagnosis system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012201301801U CN202735788U (en) | 2012-03-31 | 2012-03-31 | Wind generating set running state remote-monitoring and fault diagnosis system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN202735788U true CN202735788U (en) | 2013-02-13 |
Family
ID=47661472
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012201301801U Expired - Lifetime CN202735788U (en) | 2012-03-31 | 2012-03-31 | Wind generating set running state remote-monitoring and fault diagnosis system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN202735788U (en) |
Cited By (29)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103234585A (en) * | 2013-04-16 | 2013-08-07 | 内蒙古航天亿久科技发展有限责任公司 | Online monitoring and fault diagnosis system of large wind turbine units |
| CN103453984A (en) * | 2013-09-13 | 2013-12-18 | 同济大学 | Wind power generation set vibration state monitoring and fault diagnosis system based on WiMAX system |
| CN103472802A (en) * | 2013-09-13 | 2013-12-25 | 同济大学 | Wind generating set intelligent condition monitoring terminal and data processing method thereof |
| CN103727979A (en) * | 2013-12-19 | 2014-04-16 | 安徽泰特斯电力技术有限公司 | Draught fan vibration on-line monitoring terminal |
| CN103852723A (en) * | 2014-03-28 | 2014-06-11 | 西安热工研究院有限公司 | Wind driven generator state monitoring device and method |
| CN103869248A (en) * | 2014-03-28 | 2014-06-18 | 西安热工研究院有限公司 | Method for determining stator phase causing three-phase voltage unbalance of doubly-fed wind generator |
| CN104023078A (en) * | 2014-06-18 | 2014-09-03 | 北京四方继保自动化股份有限公司 | Torsional vibration remote application system based on cloud computing |
| CN104181916A (en) * | 2014-08-27 | 2014-12-03 | 北京天源科创风电技术有限责任公司 | Method for detecting spare parts to be detected of wind turbine generator main control systems |
| CN104486404A (en) * | 2014-12-11 | 2015-04-01 | 北京太宗科技有限公司 | Detection method and detection device of power fluctuation of wind power plant |
| CN104515677A (en) * | 2015-01-12 | 2015-04-15 | 华北电力大学 | Failure diagnosing and condition monitoring system for blades of wind generating sets |
| CN105277852A (en) * | 2015-11-09 | 2016-01-27 | 广州航海学院 | Classification and identification method of line conditions of power distribution network |
| CN105492165A (en) * | 2014-03-03 | 2016-04-13 | 新东工业株式会社 | Remote assistance system and method therefor |
| CN106438221A (en) * | 2016-12-27 | 2017-02-22 | 北京金风科创风电设备有限公司 | Signal acquisition device of wind generating set and control method thereof |
| CN107061183A (en) * | 2017-01-17 | 2017-08-18 | 中山大学 | A kind of automation method for diagnosing faults of offshore wind farm unit |
| CN107345857A (en) * | 2017-06-09 | 2017-11-14 | 昆明理工大学 | A kind of electro spindle condition monitoring and failure diagnosis system and its monitoring, diagnosing method |
| CN109163919A (en) * | 2018-09-05 | 2019-01-08 | 中国科学院上海高等研究院 | A kind of mechanical movement fault monitoring system, method, readable storage medium storing program for executing and terminal |
| CN109617234A (en) * | 2018-12-14 | 2019-04-12 | 吉林电力股份有限公司科技开发分公司 | A Wind Turbine Condition Monitoring System Based on Multidimensional Data |
| CN109751197A (en) * | 2017-11-08 | 2019-05-14 | 观为监测技术无锡股份有限公司 | Wind power generating set condition monitoring system |
| CN113009168A (en) * | 2021-02-24 | 2021-06-22 | 桂林优利特医疗电子有限公司 | Performance analysis remote service system of in-vitro diagnosis equipment |
| CN113701878A (en) * | 2021-09-09 | 2021-11-26 | 淮阴工学院 | Vibration monitoring and processing device of wind power generation equipment |
| CN113765062A (en) * | 2020-06-02 | 2021-12-07 | 中国石油化工股份有限公司 | Motor fault diagnosis and protection control system |
| CN113757048A (en) * | 2021-07-23 | 2021-12-07 | 国能云南新能源有限公司 | Wind turbine generator system gear box on-line monitoring and intelligent fault diagnosis system |
| CN113852661A (en) * | 2021-08-02 | 2021-12-28 | 上海大学 | A system and method for monitoring roller faults of process supply chain carrier equipment based on sound wave analysis |
| CN114089720A (en) * | 2021-11-12 | 2022-02-25 | 辽宁东科电力有限公司 | Intelligent control integrated system and control method for steam turbine used for power plant |
| CN114199366A (en) * | 2020-09-18 | 2022-03-18 | 青岛正维科技信息有限公司 | Vibration state monitoring system |
| CN114235367A (en) * | 2021-12-14 | 2022-03-25 | 中电华创电力技术研究有限公司 | Rotary machine vibration integrated management system |
| CN114659693A (en) * | 2022-05-12 | 2022-06-24 | 青云工业(辽宁)有限公司 | Device and method for detecting fracture failure of friction stir welding tool |
| CN115052255A (en) * | 2021-04-15 | 2022-09-13 | 深圳中云创新技术有限公司 | General object motion analysis system based on intelligent motion sensing terminal |
| CN118819091A (en) * | 2024-07-02 | 2024-10-22 | 南京凡艺智能科技有限公司 | A factory power load data acquisition and management system |
-
2012
- 2012-03-31 CN CN2012201301801U patent/CN202735788U/en not_active Expired - Lifetime
Cited By (38)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103234585A (en) * | 2013-04-16 | 2013-08-07 | 内蒙古航天亿久科技发展有限责任公司 | Online monitoring and fault diagnosis system of large wind turbine units |
| CN103453984A (en) * | 2013-09-13 | 2013-12-18 | 同济大学 | Wind power generation set vibration state monitoring and fault diagnosis system based on WiMAX system |
| CN103472802A (en) * | 2013-09-13 | 2013-12-25 | 同济大学 | Wind generating set intelligent condition monitoring terminal and data processing method thereof |
| CN103472802B (en) * | 2013-09-13 | 2016-08-17 | 同济大学 | Wind power generating set intelligent condition monitoring terminal and data processing method thereof |
| CN103727979A (en) * | 2013-12-19 | 2014-04-16 | 安徽泰特斯电力技术有限公司 | Draught fan vibration on-line monitoring terminal |
| CN105492165B (en) * | 2014-03-03 | 2018-02-13 | 新东工业株式会社 | Remote assistant system and its method |
| CN105492165A (en) * | 2014-03-03 | 2016-04-13 | 新东工业株式会社 | Remote assistance system and method therefor |
| CN103869248A (en) * | 2014-03-28 | 2014-06-18 | 西安热工研究院有限公司 | Method for determining stator phase causing three-phase voltage unbalance of doubly-fed wind generator |
| CN103852723A (en) * | 2014-03-28 | 2014-06-11 | 西安热工研究院有限公司 | Wind driven generator state monitoring device and method |
| CN103869248B (en) * | 2014-03-28 | 2016-04-13 | 西安热工研究院有限公司 | Determine the method causing double-fed wind power generator imbalance of three-phase voltage stator phase |
| CN104023078A (en) * | 2014-06-18 | 2014-09-03 | 北京四方继保自动化股份有限公司 | Torsional vibration remote application system based on cloud computing |
| CN104023078B (en) * | 2014-06-18 | 2017-06-23 | 北京四方继保自动化股份有限公司 | A kind of torsional oscillation remote application system based on cloud computing |
| CN104181916A (en) * | 2014-08-27 | 2014-12-03 | 北京天源科创风电技术有限责任公司 | Method for detecting spare parts to be detected of wind turbine generator main control systems |
| CN104486404A (en) * | 2014-12-11 | 2015-04-01 | 北京太宗科技有限公司 | Detection method and detection device of power fluctuation of wind power plant |
| CN104515677A (en) * | 2015-01-12 | 2015-04-15 | 华北电力大学 | Failure diagnosing and condition monitoring system for blades of wind generating sets |
| CN105277852A (en) * | 2015-11-09 | 2016-01-27 | 广州航海学院 | Classification and identification method of line conditions of power distribution network |
| CN106438221A (en) * | 2016-12-27 | 2017-02-22 | 北京金风科创风电设备有限公司 | Signal acquisition device of wind generating set and control method thereof |
| CN106438221B (en) * | 2016-12-27 | 2019-06-07 | 北京金风科创风电设备有限公司 | Wind turbine signal acquisition device and control method thereof |
| CN107061183A (en) * | 2017-01-17 | 2017-08-18 | 中山大学 | A kind of automation method for diagnosing faults of offshore wind farm unit |
| CN107345857A (en) * | 2017-06-09 | 2017-11-14 | 昆明理工大学 | A kind of electro spindle condition monitoring and failure diagnosis system and its monitoring, diagnosing method |
| CN109751197A (en) * | 2017-11-08 | 2019-05-14 | 观为监测技术无锡股份有限公司 | Wind power generating set condition monitoring system |
| CN109163919A (en) * | 2018-09-05 | 2019-01-08 | 中国科学院上海高等研究院 | A kind of mechanical movement fault monitoring system, method, readable storage medium storing program for executing and terminal |
| CN109617234A (en) * | 2018-12-14 | 2019-04-12 | 吉林电力股份有限公司科技开发分公司 | A Wind Turbine Condition Monitoring System Based on Multidimensional Data |
| CN113765062A (en) * | 2020-06-02 | 2021-12-07 | 中国石油化工股份有限公司 | Motor fault diagnosis and protection control system |
| CN114199366A (en) * | 2020-09-18 | 2022-03-18 | 青岛正维科技信息有限公司 | Vibration state monitoring system |
| CN113009168A (en) * | 2021-02-24 | 2021-06-22 | 桂林优利特医疗电子有限公司 | Performance analysis remote service system of in-vitro diagnosis equipment |
| CN115052255A (en) * | 2021-04-15 | 2022-09-13 | 深圳中云创新技术有限公司 | General object motion analysis system based on intelligent motion sensing terminal |
| CN115314853A (en) * | 2021-04-15 | 2022-11-08 | 深圳中云创新技术有限公司 | Mechanical fault diagnosis and predictive maintenance system |
| CN113757048A (en) * | 2021-07-23 | 2021-12-07 | 国能云南新能源有限公司 | Wind turbine generator system gear box on-line monitoring and intelligent fault diagnosis system |
| CN113852661A (en) * | 2021-08-02 | 2021-12-28 | 上海大学 | A system and method for monitoring roller faults of process supply chain carrier equipment based on sound wave analysis |
| CN113852661B (en) * | 2021-08-02 | 2024-02-02 | 上海大学 | Carrier roller fault monitoring system and method for process supply chain carrying equipment based on acoustic wave analysis |
| CN113701878B (en) * | 2021-09-09 | 2022-09-16 | 淮阴工学院 | Vibration monitoring and processing device for wind power generation equipment |
| CN113701878A (en) * | 2021-09-09 | 2021-11-26 | 淮阴工学院 | Vibration monitoring and processing device of wind power generation equipment |
| CN114089720A (en) * | 2021-11-12 | 2022-02-25 | 辽宁东科电力有限公司 | Intelligent control integrated system and control method for steam turbine used for power plant |
| CN114235367A (en) * | 2021-12-14 | 2022-03-25 | 中电华创电力技术研究有限公司 | Rotary machine vibration integrated management system |
| CN114235367B (en) * | 2021-12-14 | 2024-01-19 | 中电华创电力技术研究有限公司 | Comprehensive management system for vibration of rotary machine |
| CN114659693A (en) * | 2022-05-12 | 2022-06-24 | 青云工业(辽宁)有限公司 | Device and method for detecting fracture failure of friction stir welding tool |
| CN118819091A (en) * | 2024-07-02 | 2024-10-22 | 南京凡艺智能科技有限公司 | A factory power load data acquisition and management system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202735788U (en) | Wind generating set running state remote-monitoring and fault diagnosis system | |
| CN108709724B (en) | Online bolt state monitoring system and method for wind generating set | |
| CN104503399B (en) | The regimental Wind turbines status monitoring of one kind collection and fault diagnosis platform | |
| CN103343728A (en) | Wind generating set remote on-line multi-mode health state monitoring and fault diagnosis system | |
| CN104019000B (en) | The loading spectrum of wind power generating set is determined and perspective maintenance system | |
| CN201402209Y (en) | Intelligent failure monitoring and diagnosis system for wind generating set | |
| CN207093267U (en) | A kind of Hydroelectric Generating Set State Monitoring and fault diagnosis system | |
| CN201311360Y (en) | Vibrating online monitoring failure diagnostic device | |
| CN103940611B (en) | An adaptive anomaly detection method for rolling bearings under variable operating conditions of wind turbines | |
| CN102620807A (en) | System and method for monitoring state of wind generator | |
| CN202710100U (en) | Wind generating set remote on-line health state monitoring and fault diagnosing system | |
| CN105787584A (en) | Wind turbine malfunction early warning method based on cloud platform | |
| CN101858778A (en) | Automatic fault diagnosis method of wind turbine based on vibration monitoring | |
| CN203595550U (en) | Power transmission line aeolian vibration safety early warning system | |
| CN202326011U (en) | State-monitoring and fault-diagnosis system of wind-power set | |
| CN104515677A (en) | Failure diagnosing and condition monitoring system for blades of wind generating sets | |
| CN102506985A (en) | Online monitoring system and monitoring method for high-voltage reactor | |
| TW201120310A (en) | The state telemetry technology and fault diagnosing system in large-scale wind power farms | |
| CN108548568A (en) | A kind of transmission tower on-line monitoring system with load-bearing monitor | |
| CN109268213A (en) | Load on-line monitoring and active load reduction control method for wind generating set | |
| CN115013259A (en) | Fan blade health monitoring system | |
| CN202994473U (en) | Wind power generation unit vibration on-line monitoring and fault diagnosis system | |
| CN210068392U (en) | Health monitoring system for wind power generation foundation structure | |
| CN204082446U (en) | Based on the offshore wind farm unit comprehensive monitoring system of 6LoWPAN radio sensing network | |
| CN208431106U (en) | Wind turbines yaw system monitors mechanism on-line |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Patentee after: ELECTRIC POWER RESEARCH INSTITUTE OF GUANGDONG POWER GRID Co.,Ltd. Address before: 510080 Dongfeng East Road, Guangdong, Guangzhou, water, Kong Kong, No. 8 Patentee before: ELECTRIC POWER RESEARCH INSTITUTE OF GUANGDONG POWER GRID Corp. |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20171122 Address after: 510655, No. fifth, No. 146-150, Whampoa Avenue, Tianhe District, Guangdong, Guangzhou Patentee after: GUANGDONG DIANKEYUAN ENERGY TECHNOLOGY Co.,Ltd. Address before: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Patentee before: ELECTRIC POWER RESEARCH INSTITUTE OF GUANGDONG POWER GRID Co.,Ltd. |
|
| CP03 | Change of name, title or address | ||
| CP03 | Change of name, title or address |
Address after: Room 501-503, annex building, Huaye building, No.1-3 Chuimao new street, Xihua Road, Yuexiu District, Guangzhou City, Guangdong Province 510000 Patentee after: China Southern Power Grid Power Technology Co.,Ltd. Address before: 510655 5th floor, no.146-150, Huangpu Avenue Middle Road, Tianhe District, Guangzhou City, Guangdong Province Patentee before: GUANGDONG DIANKEYUAN ENERGY TECHNOLOGY Co.,Ltd. |
|
| CX01 | Expiry of patent term | ||
| CX01 | Expiry of patent term |
Granted publication date: 20130213 |