CN103336228A - Insulation fault maintenance method and system for generator stator - Google Patents
Insulation fault maintenance method and system for generator stator Download PDFInfo
- Publication number
- CN103336228A CN103336228A CN2013102366287A CN201310236628A CN103336228A CN 103336228 A CN103336228 A CN 103336228A CN 2013102366287 A CN2013102366287 A CN 2013102366287A CN 201310236628 A CN201310236628 A CN 201310236628A CN 103336228 A CN103336228 A CN 103336228A
- Authority
- CN
- China
- Prior art keywords
- fault
- data
- stator
- generator
- generator 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.)
- Granted
Links
Images
Landscapes
- Control Of Eletrric Generators (AREA)
Abstract
The invention provides an insulation fault maintenance method for a generator stator. The insulation fault maintenance method comprises the following steps: acquiring normal running state data of the generator stator; acquiring fault state parameter data of the generator stator; acquiring fault reference data of various faults at each state point; acquiring the reference value at each state point of the generator stator; comparing the real-time monitoring data at each state point of the generator stator with the minimum value of the normal running state data at each state point, and when the real-time monitoring data at each state point is smaller than the state reference value at the corresponding state point, comparing the real-time monitoring data with the fault reference value to acquire the corresponding fault type; generating corresponding fault signals according to different fault types; acquiring corresponding action sequences according to the fault signals; and outputting the action sequence. The invention also provides an insulation fault maintenance system which can improve the insulation fault maintenance accuracy of the generator stator, as well as the running reliability of a generator.
Description
Technical field
The present invention relates to generating set trouble hunting field, particularly relate to a kind of generator stator insulator trouble hunting method and system.
Background technology
Along with the long-time running of station-service high-rating generator, need in time to understand the running status of generator various piece, in time find to move abnormal equipment according to equipment running status, reduce the probability that generator breaks down; Wherein, generator unit stator is the generator vitals, and the running status of generator stator insulator is to the overall operation important influence of generator.
At present, the generator stator insulator fault monitoring method comprises: 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 operation and the maintenance of generator unit stator, but when the stator insulation failure symptom appearred in generator, the trouble hunting precision was low.
Summary of the invention
The objective of the invention is to propose a kind of generator stator insulator trouble hunting method and system, can improve the precision of generator stator insulator trouble hunting, improve the reliability of generator operation.
The scheme that adopts:
A kind of generator stator insulator trouble hunting method comprises step:
History run status data to generator unit stator screens, and obtains the normal operating condition data of generator unit stator;
From the historical shelf depreciation data of generator unit stator, obtain the malfunction supplemental characteristic of generator unit stator; Wherein, described malfunction supplemental characteristic comprises the shelf depreciation data when the stator insulation fault takes place;
According to described malfunction supplemental characteristic, obtain the fault reference data of the various faults of each state point; Wherein, the described fault reference data minimum value that is the status data of malfunction point;
From the normal operating condition data of described generator unit stator, obtain each state point reference value of generator unit stator; Wherein, described state point reference value is the minimum state value in normal when operation of each state point;
Real-time Monitoring Data and the described reference value of each state point of generator unit stator are compared, when the described real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, described real-time Monitoring Data and described fault reference data are compared, obtain corresponding fault type
Generate corresponding fault-signal according to different fault types;
From the faulty equipment maintenance action database of storage in advance, obtain corresponding action sequence according to described fault-signal; Wherein, described faulty equipment maintenance action database comprises the equipment action sequence that arranges at different described fault-signals;
According to described action sequence generator unit stator is overhauled.
Another program:
A kind of generator stator insulator trouble hunting system comprises:
First acquiring unit is used for the history run status data of generator unit stator is screened, and obtains the normal operating condition data of generator unit stator;
Second acquisition unit is for the malfunction supplemental characteristic that obtains generator unit stator from the historical shelf depreciation data of generator unit stator; Wherein, described malfunction supplemental characteristic comprises the shelf depreciation data when the stator insulation fault takes place;
The 3rd acquiring unit is used for according to described malfunction supplemental characteristic, obtains the fault reference data of the various faults of each state point; Wherein, the described fault reference data minimum value that is the status data of malfunction point;
The 4th acquiring unit is for each state point reference value of obtaining generator unit stator from the normal operating condition data of described generator unit stator; Wherein, described state point reference value is the minimum state value in normal when operation of each state point;
The fault type judging unit, be used for real-time Monitoring Data and the described reference value of each state point of generator unit stator are compared, when the described real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, described real-time Monitoring Data and described fault reference data are compared, obtain corresponding fault type
The fault-signal generation unit is used for generating corresponding fault-signal according to different fault types;
Search the unit, be used for obtaining corresponding action sequence according to described fault-signal from the faulty equipment maintenance action database of storage in advance; Wherein, described faulty equipment maintenance action database comprises the equipment action sequence that arranges at different described fault-signals;
The maintenance unit is used for according to described action sequence generator unit stator being overhauled.
Technology of the present invention is obtained the normal operating condition data of generator unit stator from the historical state data storehouse of generator unit stator; And then obtain each state point reference value of generator unit stator; From the historical shelf depreciation data of generator unit stator, obtain the malfunction supplemental characteristic of generator unit stator; And then obtain the fault reference data of the various faults of each state point; Generator unit stator status data and each state point reference value that monitoring is in real time obtained compare, when the real-time monitoring state data of certain state point during less than the reference value of corresponding states point, the fault reference data of these real-time monitoring state data and various faults is compared, acquisition can tender generation fault type, produce corresponding fault-signal, obtain corresponding action sequence according to fault-signal from the trouble hunting action database that prestores, according to this action sequence generator unit stator is overhauled, can improve the precision of generator stator insulator trouble hunting, improve the reliability of generator operation.
Description of drawings
Fig. 1 is an embodiment process flow diagram 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 technology of the present invention is elaborated.
The present invention proposes a kind of generator stator insulator trouble hunting method, and one of them implementing procedure figure can comprise step with reference to figure 1:
S1, obtain the normal operating condition data of generator unit stator;
History run status data to generator unit stator screens, and obtains the normal operating condition data of generator unit stator.
S2, obtain the malfunction supplemental characteristic of generator unit stator;
From the historical shelf depreciation data of generator unit stator, obtain the malfunction supplemental characteristic of generator unit stator; Wherein, the malfunction supplemental characteristic comprises the shelf depreciation data when the stator insulation fault takes place.
S3, obtain the fault reference data of the various faults of each state point;
According to the malfunction supplemental characteristic, obtain the fault reference data of the various fault correspondences of each state point; Wherein, the fault reference data is the minimum value of the status data of malfunction point.
The fault reference data comprises at least one status data of malfunction point.For example: when node was short-circuited fault, the fault reference data of this node comprised voltage, electric current, temperature of this node etc.Can set node voltage and be higher than that 100V, electric current are higher than 2A, this node fault that is short-circuited when temperature is higher than 100 °.
S4, obtain each state point reference value of generator unit stator;
From the normal operating condition data of generator unit stator, obtain each state point reference value of generator unit stator; Wherein, the state point reference value is the minimum state value in normal when operation of each state point.
S5, when the real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, real-time Monitoring Data and fault base value are compared, obtain corresponding fault type;
The real-time Monitoring Data of each state point of generator unit stator is compared with corresponding reference value, when the real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, real-time Monitoring Data and fault reference data are compared, obtain corresponding fault type.
S6, generate corresponding fault-signal according to different fault type;
S7, from the faulty equipment maintenance action database of storage in advance, obtain corresponding action sequence according to fault-signal;
From the faulty equipment maintenance action database of storage in advance, obtain corresponding action sequence according to fault-signal; Wherein, faulty equipment maintenance action database comprises the equipment action sequence that arranges at different fault-signals.As: when node was short-circuited fault, corresponding maintenance action sequence was: the line switching that 1, disconnects the bus at this node place; 2, disconnect the transformer switch of this node place circuit; 3, overhaul the resistance at these node two ends;
S8, according to action sequence generator unit stator is overhauled.
Technology of the present invention is obtained the normal operating condition data of generator unit stator from the historical state data storehouse of generator unit stator; And then obtain each state point reference value of generator unit stator; From the historical shelf depreciation data of generator unit stator, obtain the malfunction supplemental characteristic of generator unit stator; And then obtain the fault reference data of the various faults of each state point; Generator unit stator status data and each state point reference value that monitoring is in real time obtained compare, when the real-time monitoring state data of certain state point during less than the reference value of corresponding states point, the fault reference data of these real-time monitoring state data and various faults is compared, acquisition can tender generation fault type, produce corresponding fault-signal, obtain corresponding action sequence according to fault-signal from the trouble hunting action database that prestores, according to this action sequence generator unit stator is overhauled, can improve the precision of generator stator insulator trouble hunting, improve the reliability of generator operation.
Wherein, in step S5, real-time Monitoring Data and fault reference data are compared, obtain corresponding fault type and can include but not limited to following steps:
According to data type, each real-time Monitoring Data is compared one by one with the fault reference data respectively, when various types of status datas all satisfied the fault reference data of a certain fault, then this fault was the fault type that obtains.
Wherein, data type includes but not limited to: voltage, electric current, temperature etc.
Apparent, those skilled in the art can adjust some steps of Fig. 1 embodiment according to realizing logic of the present invention, for example, can realize according to the following steps:
1, obtains the normal operating condition data of generator unit stator;
History run status data to generator unit stator screens, and obtains the normal operating condition data of generator unit stator.
2, obtain the malfunction supplemental characteristic of generator unit stator;
From the historical shelf depreciation data of generator unit stator, obtain the malfunction supplemental characteristic of generator unit stator; Wherein, the malfunction supplemental characteristic comprises the shelf depreciation data when the stator insulation fault takes place.
3, obtain each state point reference value of generator unit stator;
From the normal operating condition data of generator unit stator, obtain each state point reference value of generator unit stator; Wherein, the state point reference value is the minimum state value in normal when operation of each state point.
4, obtain the fault reference data of the various faults of each state point;
According to the malfunction supplemental characteristic, obtain the fault reference data of the various faults of each state point; Wherein, the fault reference data is the minimum value of the status data of malfunction point.
The fault reference data comprises at least one status data of malfunction point.Each status data wherein is the state value of the various faults of predefined correspondence; For example: when node was short-circuited fault, the fault reference data of this node comprised voltage, electric current, temperature of this node etc.Can set node voltage and be higher than that 100V, electric current are higher than 2A, this node fault that is short-circuited when temperature is higher than 100 °.
5, when the real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, real-time Monitoring Data and fault base value are compared, obtain corresponding fault type;
The minimum value of the normal operating condition data of the real-time Monitoring Data of each state point of generator unit stator and each state point is compared, when the real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, real-time Monitoring Data and fault reference data are compared, obtain corresponding fault type.
6, generate corresponding fault-signal according to different fault types;
7, from the faulty equipment maintenance action database of storage in advance, obtain corresponding action sequence according to fault-signal;
8, according to action sequence generator unit stator is overhauled.
Also can realize according to the following steps:
1, obtains the normal operating condition data of generator unit stator;
History run status data to generator unit stator screens, and obtains the normal operating condition data of generator unit stator.
2, obtain each state point reference value of generator unit stator;
From the normal operating condition data of generator unit stator, obtain each state point reference value of generator unit stator; Wherein, the state point reference value is the minimum state value in normal when operation of each state point.
3, obtain the malfunction supplemental characteristic of generator unit stator;
From the historical shelf depreciation data of generator unit stator, obtain the malfunction supplemental characteristic of generator unit stator; Wherein, the malfunction supplemental characteristic comprises the shelf depreciation data when the stator insulation fault takes place.
4, obtain the fault reference data of the various faults of each state point;
According to the malfunction supplemental characteristic, obtain the fault reference data of the various faults of each state point; Wherein, the fault reference data is the minimum value of the status data of malfunction point.
The fault reference data comprises at least one status data of malfunction point.Each status data wherein is the state value of the various faults of predefined correspondence; For example: when node was short-circuited fault, the fault reference data of this node comprised voltage, electric current, temperature of this node etc.Can set node voltage and be higher than that 100V, electric current are higher than 2A, this node fault that is short-circuited when temperature is higher than 100 °.
5, when the real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, real-time Monitoring Data and fault base value are compared, obtain corresponding fault type;
Real-time Monitoring Data and the reference value of each state point of generator unit stator are compared, when the real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, real-time Monitoring Data and fault reference data are compared, obtain corresponding fault type.
6, generate corresponding fault-signal according to different fault types;
7, from the faulty equipment maintenance action database of storage in advance, obtain corresponding action sequence according to fault-signal;
8, according to action sequence generator unit stator is overhauled.
Wherein, in step S1, when carrying out data screening, can be chosen on the same time shaft of a period of time, the instantaneous value of all parameters of selection generator unit stator is the data in normal range all.By screening, remove improper and interfering data.
The normal operating condition data meet the following conditions:
Contain one section and can reflect the working time of generator unit stator under each operating mode; Every group of data can be expressed a normal operating condition of generator unit stator; Satisfying the simultaneity of each variable parameter in each group sampled value, namely must be the sampled value of same each parameter of historical juncture.
In embodiment, the shelf depreciation data comprise therein: the inner generating of generator stator insulator fault data, generator stator end surface generating fault data or generator unit stator slot part generating fault data.
The type of fault can comprise following several: the inner generating of generator stator insulator fault, generator stator end surface generating fault and generator unit stator slot part generating fault.
In embodiment, grasp the trouble hunting state of generator unit stator for convenience therein, when the real-time Monitoring Data of each state point is greater than or equal to the state reference value of corresponding states point, sends the expression generator unit stator and move normal information.
The present invention also proposes a kind of generator stator insulator trouble hunting system, and one of them structural representation please refer to Fig. 2, comprising:
First acquiring unit is used for the history run status data of generator unit stator is screened, and obtains the normal operating condition data of generator unit stator;
Second acquisition unit is used for from the malfunction supplemental characteristic of the historical shelf depreciation data acquisition generator unit stator of generator unit stator; Wherein, the shelf depreciation data of stator insulation fault for taking place in the malfunction supplemental characteristic;
The 3rd acquiring unit is used for according to the malfunction supplemental characteristic, obtains the fault reference data of the various faults of each state point; Wherein, the malfunction supplemental characteristic comprises the shelf depreciation data when the stator insulation fault takes place.
The 4th acquiring unit is for each state point reference value of obtaining generator unit stator from the normal operating condition data of generator unit stator; Wherein, the fault reference data is the minimum value of the status data of malfunction point;
The fault type judging unit, be used for real-time Monitoring Data and the reference value of each state point of generator unit stator are compared, when the real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, real-time Monitoring Data and fault reference data are compared, obtain corresponding fault type
The fault-signal generation unit is used for generating corresponding fault-signal according to different fault types;
Search the unit, be used for obtaining corresponding action sequence according to fault-signal from the faulty equipment maintenance action database of storage in advance; Wherein, faulty equipment maintenance action database comprises the equipment action sequence that arranges at different fault-signals;
Output unit is used for the output action sequence.
Technology of the present invention is obtained the normal operating condition data of generator unit stator from the historical state data storehouse of generator unit stator; And then obtain each state point reference value of generator unit stator; From the historical shelf depreciation data of generator unit stator, obtain the malfunction supplemental characteristic of generator unit stator; And then obtain the fault reference data of the various faults of each state point; Generator unit stator status data and each state point reference value that monitoring is in real time obtained compare, when the real-time monitoring state data of certain state point during less than the reference value of corresponding states point, the fault reference data of these real-time monitoring state data and various faults is compared, acquisition can tender generation fault type, produce corresponding fault-signal, obtain corresponding action sequence according to fault-signal from the trouble hunting action database that prestores, according to this action sequence generator unit stator is overhauled, can improve the precision of generator stator insulator trouble hunting, improve the reliability of generator operation.
In embodiment, the shelf depreciation data comprise therein: the inner generating of generator stator insulator fault data, generator stator end surface generating fault data or generator unit stator slot part generating fault data.
For the ease of grasping the state of trouble hunting, in generator stator insulator trouble hunting system, increase alarm unit; Its structural representation can be with reference to figure 3;
When the real-time Monitoring Data of each state point of fault type judgment unit judges was greater than or equal to the state reference value of corresponding states point, alarm unit sent the expression generator unit stator and moves normal information.
The above embodiment has only expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but can not therefore be interpreted as the restriction to claim of the present invention.Should be pointed out that for the person of ordinary skill of the art without departing from the inventive concept of the premise, can also make some distortion and improvement, 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 hunting method is characterized in that, comprises step:
History run status data to generator unit stator screens, and obtains the normal operating condition data of generator unit stator;
From the historical shelf depreciation data of generator unit stator, obtain the malfunction supplemental characteristic of generator unit stator; Wherein, described malfunction supplemental characteristic comprises the shelf depreciation data when the stator insulation fault takes place;
According to described malfunction supplemental characteristic, obtain the fault reference data of the various fault correspondences of each state point; Wherein, the described fault reference data minimum value that is the status data of malfunction point;
From the normal operating condition data of described generator unit stator, obtain each state point reference value of generator unit stator; Wherein, described state point reference value is the minimum state value in normal when operation of each state point;
The real-time Monitoring Data of each state point of generator unit stator and the described reference value of described each state point are compared, when the described real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, described real-time Monitoring Data and described fault reference data are compared, obtain corresponding fault type
Generate corresponding fault-signal according to different fault types;
From the faulty equipment maintenance action database of storage in advance, obtain corresponding action sequence according to described fault-signal; Wherein, described faulty equipment maintenance action database comprises the equipment action sequence that arranges at different described fault-signals;
According to described action sequence generator unit stator is overhauled.
2. generator stator insulator trouble hunting method according to claim 1 is characterized in that,
Described shelf depreciation data comprise: the inner generating of generator stator insulator fault data, generator stator end surface generating fault data or generator unit stator slot part generating fault data.
3. generator stator insulator trouble hunting method according to claim 1 and 2 is characterized in that,
When the described real-time Monitoring Data of each state point is greater than or equal to the described state reference value of corresponding states point, sends the expression generator unit stator and move normal information.
4. a generator stator insulator trouble hunting system is characterized in that, comprising:
First acquiring unit is used for the history run status data of generator unit stator is screened, and obtains the normal operating condition data of generator unit stator;
Second acquisition unit is for the malfunction supplemental characteristic that obtains generator unit stator from the historical shelf depreciation data of generator unit stator; Wherein, described malfunction supplemental characteristic comprises the shelf depreciation data when the stator insulation fault takes place;
The 3rd acquiring unit is used for according to described malfunction supplemental characteristic, obtains the fault reference data of the various faults of each state point; Wherein, the described fault reference data minimum value that is the status data of malfunction point;
The 4th acquiring unit is for each state point reference value of obtaining generator unit stator from the normal operating condition data of described generator unit stator; Wherein, described state point reference value is the minimum state value in normal when operation of each state point;
The fault type judging unit, be used for real-time Monitoring Data and the described reference value of each state point of generator unit stator are compared, when the described real-time Monitoring Data of each state point during less than the state reference value of corresponding states point, described real-time Monitoring Data and described fault reference data are compared, obtain corresponding fault type
The fault-signal generation unit is used for generating corresponding fault-signal according to different fault types;
Search the unit, be used for obtaining corresponding action sequence according to described fault-signal from the faulty equipment maintenance action database of storage in advance; Wherein, described faulty equipment maintenance action database comprises the equipment action sequence that arranges at different described fault-signals;
The maintenance unit is used for according to described action sequence generator unit stator being overhauled.
5. generator stator insulator trouble hunting according to claim 4 system is characterized in that,
Described shelf depreciation data comprise: the inner generating of generator stator insulator fault data, generator stator end surface generating fault data or generator unit stator slot part generating fault data.
6. according to claim 4 or 5 described generator stator insulator trouble hunting systems, it is characterized in that described generator stator insulator trouble hunting system also comprises: alarm unit;
When the described real-time Monitoring Data of described each state point of fault type judgment unit judges was greater than or equal to the described state reference value of corresponding states point, described alarm unit sent the expression generator unit stator and moves normal information.
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 true CN103336228A (en) | 2013-10-02 |
| CN103336228B 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) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104730458A (en) * | 2015-04-01 | 2015-06-24 | 贵州电力试验研究院 | Method for monitoring state of generator excitation system |
| CN105182201A (en) * | 2015-09-28 | 2015-12-23 | 广东电网有限责任公司电力科学研究院 | Generator stator bar insulation state evaluation method based on low voltage and multiple parameters |
| 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 |
| CN106841900A (en) * | 2017-01-25 | 2017-06-13 | 哈尔滨理工大学 | The failure detector and method of micro electromagnetic generator unit stator winding |
| CN110514969A (en) * | 2019-07-29 | 2019-11-29 | 国网河北省电力有限公司电力科学研究院 | Electricity generator stator core insulation detection device and detection method |
| CN115864759A (en) * | 2023-02-06 | 2023-03-28 | 深圳市利和兴股份有限公司 | Control method and system for automatic motor test work 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 |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104730458A (en) * | 2015-04-01 | 2015-06-24 | 贵州电力试验研究院 | Method for monitoring state of generator excitation system |
| CN104730458B (en) * | 2015-04-01 | 2017-11-24 | 贵州电力试验研究院 | Generator excited system state monitoring method |
| CN105182201A (en) * | 2015-09-28 | 2015-12-23 | 广东电网有限责任公司电力科学研究院 | Generator stator bar insulation state evaluation method based on low voltage and multiple parameters |
| 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 |
| CN106841900A (en) * | 2017-01-25 | 2017-06-13 | 哈尔滨理工大学 | The failure detector and method of micro electromagnetic generator unit stator winding |
| 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 |
| CN110514969A (en) * | 2019-07-29 | 2019-11-29 | 国网河北省电力有限公司电力科学研究院 | Electricity generator stator core insulation detection device and detection method |
| CN115864759A (en) * | 2023-02-06 | 2023-03-28 | 深圳市利和兴股份有限公司 | Control method and system for automatic motor test work station |
Also Published As
| Publication number | Publication date |
|---|---|
| CN103336228B (en) | 2016-06-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103336228A (en) | Insulation fault maintenance method and system for generator stator | |
| CN105067963A (en) | Distribution network fault early warning method and system based on transient waveforms | |
| Montanari et al. | A new approach to partial discharge testing of HV cable systems | |
| CN101799518B (en) | Online monitoring and grounding protection methods of insulation of generator stator core tightening screw rods | |
| US8766809B2 (en) | Apparatus and method for correcting error of acquired data | |
| CN103855692B (en) | A kind of acquisition methods of multi partition relay protection constant value | |
| CN206311733U (en) | A kind of electricity generator stator coil Condition assessment of insulation device | |
| CN103376348A (en) | Method of controlling fault current in system for monitoring and controlling power system | |
| Quiroga et al. | Fault causes analysis in feeders of power distribution networks | |
| CN102638027B (en) | Switch refusing action fault simulation method for online safety and stability evaluation of electric power system | |
| Jamali et al. | Identification of faulted line section in microgrids using data mining method based on feature discretisation | |
| EP2988142A2 (en) | Monitoring unit for monitoring a switching state and/or an electrical condition of a high-voltage breaker system, monitoring system and method | |
| CN104316875B (en) | The on-line monitoring method of high-voltage circuit-breaker status and system | |
| JP5774421B2 (en) | Power system stabilization system and power system stabilization method | |
| CN107356849A (en) | Supporting insulator local discharge detection device and method in gas-insulated switch | |
| CN104849541A (en) | Method for realizing voltage measurement abnormity detection in direct-current protection system | |
| CN104849534A (en) | Method for realizing voltage measurement abnormity detection in direct-current station control system | |
| CN104297681A (en) | High-voltage circuit breaker state online monitoring and evaluating system | |
| Gulbhile et al. | Overhead line fault detection using GSM technology | |
| CN102288881B (en) | Method for diagnosing severity of discharging shortcoming of oil paper insulation thorn of transformer | |
| Shi et al. | Travelling waves‐based identification of sub‐health condition of feeders in power distribution system | |
| David et al. | Cause and effect of overvoltage on the LV network | |
| Varetsky | Overvoltages in MV industrial grid under ground faults | |
| Strobl et al. | Non-recursive system identification and fault detection in LVDC and ELVDC grids | |
| CN206876812U (en) | Supporting insulator local discharge detection device in gas-insulated switch |
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 |