CN103336228B - A kind of generator stator insulator trouble shooting method and system - Google Patents
A kind of generator stator insulator trouble shooting method and system Download PDFInfo
- Publication number
- CN103336228B CN103336228B CN201310236628.7A CN201310236628A CN103336228B CN 103336228 B CN103336228 B CN 103336228B CN 201310236628 A CN201310236628 A CN 201310236628A CN 103336228 B CN103336228 B CN 103336228B
- Authority
- CN
- China
- Prior art keywords
- data
- generator stator
- fault
- state
- point
- 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.)
- Active
Links
Landscapes
- Control Of Eletrric Generators (AREA)
Abstract
The present invention proposes a kind of generator stator insulator trouble shooting method, comprising: the normal operating condition data obtaining generator stator; Obtain the fault state parameter data of generator stator; Obtain the fault reference data of the various faults of each state point; Obtain each state point benchmark value of generator stator; The minimum value of the Real-Time Monitoring data of each state point of generator stator and the normal operating condition data of each state point is compared, when the Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, Real-Time Monitoring data and fault benchmark number are compared, obtains corresponding fault type; Corresponding trouble signal is generated according to different fault types; Corresponding action sequence is obtained according to trouble signal; Export action sequence. The present invention proposes a kind of generator stator insulator trouble shooting system, it is possible to improve the precision of generator stator insulator trouble shooting, it is to increase the reliability that generator runs.
Description
Technical field
The present invention relates to generating set trouble shooting field, particularly relate to a kind of generator stator insulator trouble shooting method and system.
Background technology
Along with factory's long-time running of big generator, need the running status understanding each part of generator in time, run abnormal equipment according to equipment running status Timeliness coverage, reduce the probability of generator generation fault; Wherein, generator stator is the important parts of generator, and the overall operation of generator is had important impact by the running status of generator stator insulator.
At present, generator stator insulator fault monitoring method comprises: the methods such as insulating property test, rf monitoring, voltage to ground, electromagnetic finite element method, insulated local discharge malfunction test. These methods can provide reference information for the operation of generator stator and maintenance, but when stator insulation failure symptom occurs in generator, trouble shooting precision is low.
Summary of the invention
It is an object of the invention to propose a kind of generator stator insulator trouble shooting method and system, it is possible to improve the precision of generator stator insulator trouble shooting, it is to increase the reliability that generator runs.
The scheme adopted:
A kind of generator stator insulator trouble shooting method, comprises step:
The history run state data of generator stator are screened, obtains the normal operating condition data of generator stator;
The fault state parameter data of generator stator are obtained from the history shelf depreciation data of generator stator; Wherein, shelf depreciation data during described fault state parameter data comprise generation stator insulation fault;
According to described fault state parameter data, obtain the fault reference data of the various faults of each state point; Wherein, described fault reference data is the minimum value of the state data of fault state point;
Each state point benchmark value of generator stator is obtained from the normal operating condition data of described generator stator; Wherein, described state point benchmark value is minimum state value during the normal operation of each state point;
The Real-Time Monitoring data of each state point of generator stator and described benchmark value are compared, when the described Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, described Real-Time Monitoring data and described fault reference data are compared, obtain corresponding fault type
Corresponding trouble signal is generated according to different fault types;
From the malfunction equipment maintenance action database prestored, corresponding action sequence is obtained according to described trouble signal; Wherein, described malfunction equipment maintenance action database comprises for the equipment action sequence that different described trouble signals is arranged;
According to described action sequence, generator stator is overhauled.
Another program:
A kind of generator stator insulator trouble shooting system, comprising:
First acquiring unit, for the history run state data of generator stator being screened, obtains the normal operating condition data of generator stator;
2nd acquiring unit, for obtaining the fault state parameter data of generator stator from the history shelf depreciation data of generator stator; Wherein, shelf depreciation data during described fault state parameter data comprise generation stator insulation fault;
3rd acquiring unit, for according to described fault state parameter data, obtaining the fault reference data of the various faults of each state point; Wherein, described fault reference data is the minimum value of the state data of fault state point;
4th acquiring unit, for obtaining each state point benchmark value of generator stator from the normal operating condition data of described generator stator; Wherein, described state point benchmark value is minimum state value during the normal operation of each state point;
Fault type judging unit, for the Real-Time Monitoring data of each state point of generator stator and described benchmark value are compared, when the described Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, described Real-Time Monitoring data and described fault reference data are compared, obtain corresponding fault type
Trouble signal generation unit, for generating corresponding trouble signal according to different fault types;
Search unit, for obtaining corresponding action sequence according to described trouble signal from the malfunction equipment maintenance action database prestored; Wherein, described malfunction equipment maintenance action database comprises for the equipment action sequence that different described trouble signals is arranged;
Maintenance unit, for overhauling generator stator according to described action sequence.
The technology of the present invention, obtains the normal operating condition data of generator stator from the historical state data storehouse of generator stator, and then obtain each state point benchmark value of generator stator, the fault state parameter data of generator stator are obtained from the history shelf depreciation data of generator stator, and then obtain the fault reference data of the various faults of each state point, the generator stator state data obtained by Real-Time Monitoring and each state point benchmark value compare, when the Real-Time Monitoring state data of certain state point are less than the benchmark value of corresponding states point, the fault reference data of these Real-Time Monitoring state data and various fault is compared, acquisition can the fault type of tender generation, produce corresponding trouble signal, corresponding action sequence is obtained from the trouble shooting action database prestored according to trouble signal, according to this action sequence, generator stator is overhauled, the precision of generator stator insulator trouble shooting can be improved, improve the reliability that generator runs.
Accompanying drawing explanation
Fig. 1 is an embodiment schema of the inventive method;
Fig. 2 is a structural representation of apparatus of the present invention;
Fig. 3 is another structural representation of apparatus of the present invention.
Embodiment
Below the technology of the present invention is described in detail.
The present invention proposes a kind of generator stator insulator trouble shooting method, and one of them implementing procedure figure with reference to figure 1, can comprise step:
S1, the normal operating condition data obtaining generator stator;
The history run state data of generator stator are screened, obtains the normal operating condition data of generator stator.
S2, the fault state parameter data obtaining generator stator;
The fault state parameter data of generator stator are obtained from the history shelf depreciation data of generator stator; Wherein, shelf depreciation data during fault state parameter data comprise generation stator insulation fault.
The fault reference data of S3, the various faults obtaining each state point;
According to fault state parameter data, obtain the fault reference data that the various faults of each state point are corresponding; Wherein, fault reference data is the minimum value of the state data of fault state point.
Fault reference data comprises at least one state data of fault state point. Such as: node be short-circuited fault time, the fault reference data of this node comprises the voltage of this node, electric current, temperature etc. Node voltage can be set be short-circuited fault higher than this node when 100 �� higher than 2A, temperature higher than 100V, electric current.
S4, each state point benchmark value obtaining generator stator;
Each state point benchmark value of generator stator is obtained from the normal operating condition data of generator stator; Wherein, state point benchmark value is minimum state value during the normal operation of each state point.
S5, when the Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, Real-Time Monitoring data and fault benchmark number are compared, obtain corresponding fault type;
The Real-Time Monitoring data of each state point of generator stator are compared with corresponding benchmark value, when the Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, Real-Time Monitoring data and fault reference data are compared, obtains corresponding fault type.
S6, the trouble signal generating correspondence according to different fault types;
S7, the action sequence obtaining correspondence according to trouble signal from the malfunction equipment maintenance action database prestored;
From the malfunction equipment maintenance action database prestored, corresponding action sequence is obtained according to trouble signal; Wherein, malfunction equipment maintenance action database comprises for the equipment action sequence that different trouble signals is arranged. As: node be short-circuited fault time, corresponding maintenance action sequence is: the line switch 1, disconnecting the bus at this node place; 2, the transformer switch of this node place circuit is disconnected; 3, the resistance at these node two ends is overhauled; ......
S8, according to action sequence, generator stator is overhauled.
The technology of the present invention, obtains the normal operating condition data of generator stator from the historical state data storehouse of generator stator, and then obtain each state point benchmark value of generator stator, the fault state parameter data of generator stator are obtained from the history shelf depreciation data of generator stator, and then obtain the fault reference data of the various faults of each state point, the generator stator state data obtained by Real-Time Monitoring and each state point benchmark value compare, when the Real-Time Monitoring state data of certain state point are less than the benchmark value of corresponding states point, the fault reference data of these Real-Time Monitoring state data and various fault is compared, acquisition can the fault type of tender generation, produce corresponding trouble signal, corresponding action sequence is obtained from the trouble shooting action database prestored according to trouble signal, according to this action sequence, generator stator is overhauled, the precision of generator stator insulator trouble shooting can be improved, improve the reliability that generator runs.
Wherein, in step s 5, Real-Time Monitoring data and fault reference data are compared, obtain corresponding fault type and can include but not limited to following step:
According to data type, with fault reference data, each Real-Time Monitoring data being carried out comparison one by one respectively, when various types of state data all meet the fault reference data of a certain fault, then this fault is the fault type of acquisition.
Wherein, data type includes but not limited to: voltage, electric current, temperature etc.
Apparent, some steps of Fig. 1 embodiment according to realizing logic of the present invention, can be adjusted, such as, can realize according to the following steps by the technician of this area:
1, the normal operating condition data of generator stator are obtained;
The history run state data of generator stator are screened, obtains the normal operating condition data of generator stator.
2, the fault state parameter data of generator stator are obtained;
The fault state parameter data of generator stator are obtained from the history shelf depreciation data of generator stator; Wherein, shelf depreciation data during fault state parameter data comprise generation stator insulation fault.
3, each state point benchmark value of generator stator is obtained;
Each state point benchmark value of generator stator is obtained from the normal operating condition data of generator stator; Wherein, state point benchmark value is minimum state value during the normal operation of each state point.
4, the fault reference data of the various faults of each state point is obtained;
According to fault state parameter data, obtain the fault reference data of the various faults of each state point; Wherein, fault reference data is the minimum value of the state data of fault state point.
Fault reference data comprises at least one state data of fault state point. Each state data wherein are the state value of the corresponding various fault set in advance; Such as: node be short-circuited fault time, the fault reference data of this node comprises the voltage of this node, electric current, temperature etc. Node voltage can be set be short-circuited fault higher than this node when 100 �� higher than 2A, temperature higher than 100V, electric current.
5, when the Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, Real-Time Monitoring data and fault benchmark number are compared, obtain corresponding fault type;
The minimum value of the Real-Time Monitoring data of each state point of generator stator and the normal operating condition data of each state point is compared, when the Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, Real-Time Monitoring data and fault reference data are compared, obtains corresponding fault type.
6, corresponding trouble signal is generated according to different fault types;
7, from the malfunction equipment maintenance action database prestored, corresponding action sequence is obtained according to trouble signal;
8, according to action sequence, generator stator is overhauled.
Also can realize according to the following steps:
1, the normal operating condition data of generator stator are obtained;
The history run state data of generator stator are screened, obtains the normal operating condition data of generator stator.
2, each state point benchmark value of generator stator is obtained;
Each state point benchmark value of generator stator is obtained from the normal operating condition data of generator stator; Wherein, state point benchmark value is minimum state value during the normal operation of each state point.
3, the fault state parameter data of generator stator are obtained;
The fault state parameter data of generator stator are obtained from the history shelf depreciation data of generator stator; Wherein, shelf depreciation data during fault state parameter data comprise generation stator insulation fault.
4, the fault reference data of the various faults of each state point is obtained;
According to fault state parameter data, obtain the fault reference data of the various faults of each state point;Wherein, fault reference data is the minimum value of the state data of fault state point.
Fault reference data comprises at least one state data of fault state point. Each state data wherein are the state value of the corresponding various fault set in advance; Such as: node be short-circuited fault time, the fault reference data of this node comprises the voltage of this node, electric current, temperature etc. Node voltage can be set be short-circuited fault higher than this node when 100 �� higher than 2A, temperature higher than 100V, electric current.
5, when the Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, Real-Time Monitoring data and fault benchmark number are compared, obtain corresponding fault type;
The Real-Time Monitoring data of each state point of generator stator and benchmark value are compared, when the Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, Real-Time Monitoring data and fault reference data are compared, obtains corresponding fault type.
6, corresponding trouble signal is generated according to different fault types;
7, from the malfunction equipment maintenance action database prestored, corresponding action sequence is obtained according to trouble signal;
8, according to action sequence, generator stator is overhauled.
Wherein, in step sl, when carrying out data screening, can select on the same time axle of for some time, select instantaneous value all data in normal range of all parameters of generator stator. By screening, remove improper and interfering data.
Normal operating condition data meet the following conditions:
Cover one section and can reflect the working time of generator stator under each operating mode; Often organize the normal operating condition that data can express generator stator; Meet the synchronism of each variable parameter in each group of sampled value, namely must be the sampled value of same each parameter of historical juncture.
Wherein in an enforcement mode, shelf depreciation data comprise: generator stator insulator inside generating fault data, generator stator end surface generating fault data or generator Stator Slots generating fault data.
The type of fault can comprise following several: generator stator insulator inside generating fault, generator stator end surface generating fault and generator Stator Slots generating fault.
Wherein in an enforcement mode, in order to the convenient trouble shooting state grasping generator stator, when the Real-Time Monitoring data of each state point are greater than or equal to the state benchmark value of corresponding states point, send the information representing generator stator normal operation.
The present invention also proposes a kind of generator stator insulator trouble shooting system, and one of them structural representation please refer to Fig. 2, comprising:
First acquiring unit, for the history run state data of generator stator being screened, obtains the normal operating condition data of generator stator;
2nd acquiring unit, for obtaining the fault state parameter data of generator stator from the history shelf depreciation data of generator stator; Wherein, fault state parameter data are the shelf depreciation data that stator insulation fault possible occur;
3rd acquiring unit, for according to fault state parameter data, obtaining the fault reference data of the various faults of each state point; Wherein, shelf depreciation data during fault state parameter data comprise generation stator insulation fault.
4th acquiring unit, for obtaining each state point benchmark value of generator stator from the normal operating condition data of generator stator; Wherein, fault reference data is the minimum value of the state data of fault state point;
Fault type judging unit, for the Real-Time Monitoring data of each state point of generator stator and benchmark value are compared, when the Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, Real-Time Monitoring data and fault reference data are compared, obtain corresponding fault type
Trouble signal generation unit, for generating corresponding trouble signal according to different fault types;
Search unit, for obtaining corresponding action sequence according to trouble signal from the malfunction equipment maintenance action database prestored; Wherein, malfunction equipment maintenance action database comprises for the equipment action sequence that different trouble signals is arranged;
Output unit, for exporting action sequence.
The technology of the present invention, obtains the normal operating condition data of generator stator from the historical state data storehouse of generator stator, and then obtain each state point benchmark value of generator stator, the fault state parameter data of generator stator are obtained from the history shelf depreciation data of generator stator, and then obtain the fault reference data of the various faults of each state point, the generator stator state data obtained by Real-Time Monitoring and each state point benchmark value compare, when the Real-Time Monitoring state data of certain state point are less than the benchmark value of corresponding states point, the fault reference data of these Real-Time Monitoring state data and various fault is compared, acquisition can the fault type of tender generation, produce corresponding trouble signal, corresponding action sequence is obtained from the trouble shooting action database prestored according to trouble signal, according to this action sequence, generator stator is overhauled, the precision of generator stator insulator trouble shooting can be improved, improve the reliability that generator runs.
Wherein in an enforcement mode, shelf depreciation data comprise: generator stator insulator inside generating fault data, generator stator end surface generating fault data or generator Stator Slots generating fault data.
For the ease of grasping the state of trouble shooting, in generator stator insulator trouble shooting system, increase warning unit; Its structural representation can with reference to figure 3;
When fault type judging unit judges the state benchmark value that the Real-Time Monitoring data of each state point are greater than or equal to corresponding states point, warning unit sends the information representing generator stator normal operation.
The above embodiment only have expressed several enforcement modes of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to patent scope of the present invention. , it is also possible to make some distortion and improvement, it should be appreciated that for the person of ordinary skill of the art, without departing from the inventive concept of the premise these all belong to protection scope of the present invention. Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (6)
1. a generator stator insulator trouble shooting method, is characterized in that, comprises step:
The history run state data of generator stator are screened, obtains the normal operating condition data of generator stator;
The fault state parameter data of generator stator are obtained from the history shelf depreciation data of generator stator; Wherein, shelf depreciation data during described fault state parameter data comprise generation stator insulation fault;
According to described fault state parameter data, obtain the fault reference data that the various faults of each state point are corresponding; Wherein, described fault reference data is the minimum value of the state data of fault state point;
Each state point benchmark value of generator stator is obtained from the normal operating condition data of described generator stator; Wherein, described state point benchmark value is minimum state value during the normal operation of each state point;
The described benchmark value of the Real-Time Monitoring data of each state point of generator stator and each state point described is compared, when the described Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, described Real-Time Monitoring data and described fault reference data are compared, obtain corresponding fault type
Corresponding trouble signal is generated according to different fault types;
From the malfunction equipment maintenance action database prestored, corresponding action sequence is obtained according to described trouble signal; Wherein, described malfunction equipment maintenance action database comprises for the equipment action sequence that different described trouble signals is arranged;
According to described action sequence, generator stator is overhauled.
2. generator stator insulator trouble shooting method according to claim 1, is characterized in that,
Described shelf depreciation data comprise: generator stator insulator internal discharge fault data, generator stator end surface-discharge fault data or generator Stator Slots discharge fault data.
3. generator stator insulator trouble shooting method according to claim 1 and 2, is characterized in that,
When the described Real-Time Monitoring data of each state point are greater than or equal to the described state benchmark value of corresponding states point, send the information representing generator stator normal operation.
4. a generator stator insulator trouble shooting system, is characterized in that, comprising:
First acquiring unit, for the history run state data of generator stator being screened, obtains the normal operating condition data of generator stator;
2nd acquiring unit, for obtaining the fault state parameter data of generator stator from the history shelf depreciation data of generator stator; Wherein, shelf depreciation data during described fault state parameter data comprise generation stator insulation fault;
3rd acquiring unit, for according to described fault state parameter data, obtaining the fault reference data of the various faults of each state point; Wherein, described fault reference data is the minimum value of the state data of fault state point;
4th acquiring unit, for obtaining each state point benchmark value of generator stator from the normal operating condition data of described generator stator; Wherein, described state point benchmark value is minimum state value during the normal operation of each state point;
Fault type judging unit, for the Real-Time Monitoring data of each state point of generator stator and described benchmark value are compared, when the described Real-Time Monitoring data of each state point are less than the state benchmark value of corresponding states point, described Real-Time Monitoring data and described fault reference data are compared, obtain corresponding fault type
Trouble signal generation unit, for generating corresponding trouble signal according to different fault types;
Search unit, for obtaining corresponding action sequence according to described trouble signal from the malfunction equipment maintenance action database prestored; Wherein, described malfunction equipment maintenance action database comprises for the equipment action sequence that different described trouble signals is arranged;
Maintenance unit, for overhauling generator stator according to described action sequence.
5. generator stator insulator trouble shooting system according to claim 4, is characterized in that,
Described shelf depreciation data comprise: generator stator insulator internal discharge fault data, generator stator end surface-discharge fault data or generator Stator Slots discharge fault data.
6. generator stator insulator trouble shooting system according to claim 4 or 5, is characterized in that, described generator stator insulator trouble shooting system also comprises: warning unit;
When described fault type judging unit judges the described state benchmark value that the described Real-Time Monitoring data of each state point are greater than or equal to corresponding states point, described warning unit sends the information representing generator stator normal operation.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310236628.7A CN103336228B (en) | 2013-06-14 | 2013-06-14 | A kind of generator stator insulator trouble shooting method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201310236628.7A CN103336228B (en) | 2013-06-14 | 2013-06-14 | A kind of generator stator insulator trouble shooting method and system |
Publications (2)
Publication Number | Publication Date |
---|---|
CN103336228A CN103336228A (en) | 2013-10-02 |
CN103336228B true CN103336228B (en) | 2016-06-08 |
Family
ID=49244431
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201310236628.7A Active CN103336228B (en) | 2013-06-14 | 2013-06-14 | A kind of generator stator insulator trouble shooting method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN103336228B (en) |
Families Citing this family (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104730458B (en) * | 2015-04-01 | 2017-11-24 | 贵州电力试验研究院 | Generator excited system state monitoring method |
CN105182201B (en) * | 2015-09-28 | 2017-11-10 | 广东电网有限责任公司电力科学研究院 | Generator stator bar state of insulation assessment method based on low-voltage and multi-parameter |
CN105955213A (en) * | 2016-05-24 | 2016-09-21 | 成都天衡电科科技有限公司 | Abnormity handling method of manufacture device |
CN106841900B (en) * | 2017-01-25 | 2019-04-05 | 哈尔滨理工大学 | The fault detection means and method of micro electromagnetic generator unit stator winding |
CN110514969B (en) * | 2019-07-29 | 2022-01-25 | 国网河北省电力有限公司电力科学研究院 | Generator stator core insulation detection device and detection method |
CN115864759B (en) * | 2023-02-06 | 2023-05-02 | 深圳市利和兴股份有限公司 | Control method and system for automatic motor testing station |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6611771B1 (en) * | 2000-10-04 | 2003-08-26 | Eaton Corporation | Method and apparatus to detect a stator turn fault in an AC motor |
CN101025434A (en) * | 2007-03-28 | 2007-08-29 | 华北电力大学 | Asynchronous motor stator winding inter-turn short circuit failure on-line detecting method and device |
CN102270271A (en) * | 2011-05-03 | 2011-12-07 | 北京中瑞泰科技有限公司 | Equipment failure early warning and optimizing method and system based on similarity curve |
CN102540028A (en) * | 2012-01-13 | 2012-07-04 | 广东电网公司电力科学研究院 | Automatic pattern recognition method for partial discharge defects of generator stator insulation |
CN102808740A (en) * | 2011-05-30 | 2012-12-05 | 三一电气有限责任公司 | Method, equipment and system for overhauling faults of wind generation set |
-
2013
- 2013-06-14 CN CN201310236628.7A patent/CN103336228B/en active Active
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6611771B1 (en) * | 2000-10-04 | 2003-08-26 | Eaton Corporation | Method and apparatus to detect a stator turn fault in an AC motor |
CN101025434A (en) * | 2007-03-28 | 2007-08-29 | 华北电力大学 | Asynchronous motor stator winding inter-turn short circuit failure on-line detecting method and device |
CN102270271A (en) * | 2011-05-03 | 2011-12-07 | 北京中瑞泰科技有限公司 | Equipment failure early warning and optimizing method and system based on similarity curve |
CN102808740A (en) * | 2011-05-30 | 2012-12-05 | 三一电气有限责任公司 | Method, equipment and system for overhauling faults of wind generation set |
CN102540028A (en) * | 2012-01-13 | 2012-07-04 | 广东电网公司电力科学研究院 | Automatic pattern recognition method for partial discharge defects of generator stator insulation |
Also Published As
Publication number | Publication date |
---|---|
CN103336228A (en) | 2013-10-02 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN103336228B (en) | A kind of generator stator insulator trouble shooting method and system | |
CN103713237B (en) | A kind of power system transmission line short trouble diagnostic method | |
CN105067963A (en) | Distribution network fault early warning method and system based on transient waveforms | |
CN106526383B (en) | Lightning arrester state monitoring system and monitoring method | |
CN101799518B (en) | Online monitoring and grounding protection methods of insulation of generator stator core tightening screw rods | |
WO2022105286A1 (en) | System and method for monitoring abnormal state based on progressive identification | |
EP3465860A1 (en) | Method and apparatus for detecting faults in a three-phase electrical distribution network | |
CN103155329B (en) | Method and system for online ferroresonance detection | |
CN104281982A (en) | Substation equipment state evaluation method based on power grid topological structure | |
CN104181438A (en) | Fault detection circuit, method and device | |
Quiroga et al. | Fault causes analysis in feeders of power distribution networks | |
CN102928722B (en) | Maloperation cause detection method for jumping lockout relay due to power frequency AC interference of transformer station | |
Druml et al. | Fast selective earth fault localization using the new fast pulse detection method | |
CN111398714A (en) | Multi-data fusion power quality fault diagnosis method and system | |
CN104734139A (en) | Method for calculating transient state constant value of direct current filter element | |
CN104518506A (en) | Arc suppresser allowing distinguishing of intra-station arc grounding, extra-station grounding and motor stator arc grounding | |
CN104297681A (en) | High-voltage circuit breaker state online monitoring and evaluating system | |
CN107356849B (en) | Partial discharge detection device and method for supporting insulator in gas insulated switch | |
CN210952934U (en) | Switch cabinet state monitoring and diagnosing system | |
CN102288881B (en) | Method for diagnosing severity of discharging shortcoming of oil paper insulation thorn of transformer | |
CN206193133U (en) | Arrester state monitoring system | |
EP2988142A2 (en) | Monitoring unit for monitoring a switching state and/or an electrical condition of a high-voltage breaker system, monitoring system and method | |
CN208257390U (en) | A kind of device preventing generator outlet voltage transformer turn-to-turn short circuit false tripping machine | |
Shi et al. | Travelling waves‐based identification of sub‐health condition of feeders in power distribution system | |
CN110765666A (en) | Simulation method for indirect breakdown fault of power transmission line caused by lightning stroke due to bifurcated lightning |
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 | ||
CP01 | Change in the name or title of a patent holder | ||
CP01 | Change in the name or title of a patent holder |
Address after: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Patentee after: ELECTRIC POWER RESEARCH INSTITUTE, GUANGDONG POWER GRID CO., LTD. Address before: 510080 Dongfeng East Road, Dongfeng, Guangdong, Guangzhou, Zhejiang Province, No. 8 Patentee before: Electrical Power Research Institute of Guangdong Power Grid Corporation |