CN103901330A - Partial discharge on-line monitoring method for XLPE cable - Google Patents

Partial discharge on-line monitoring method for XLPE cable Download PDF

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CN103901330A
CN103901330A CN201410150614.8A CN201410150614A CN103901330A CN 103901330 A CN103901330 A CN 103901330A CN 201410150614 A CN201410150614 A CN 201410150614A CN 103901330 A CN103901330 A CN 103901330A
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discharge
voltage signal
data
real
time voltage
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Inventor
沈超
周华
鲍长庚
贾雅君
姚林朋
王大成
傅铭
顾悦
邱从明
周昊
章晓亮
朱伟剑
闫贻鹏
杨国健
叶清
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SHANGHAI JUNSHI ELECTRICAL SCIENCE and TECHNOLOGY Co Ltd
State Grid Shanghai Electric Power Co Ltd
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SHANGHAI JUNSHI ELECTRICAL SCIENCE and TECHNOLOGY Co Ltd
State Grid Shanghai Electric Power Co Ltd
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Publication of CN103901330A publication Critical patent/CN103901330A/en
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Abstract

The invention discloses a partial discharge on-line monitoring method for an XLPE cable. The partial discharge on-line monitoring method comprises the data acquisition step, wherein a real-time voltage signal on an earth wire of a corresponding XLPE cable is acquired through a sensor; the data summarization step, wherein the real-time voltage signal is summarized to an acquisition card through a signal distribution box; the data processing step, wherein an industrial personal computer calls the real-time voltage signal from the acquisition card and conducts filter processing on the real-time voltage signal; the data storage step, wherein the real-time voltage signal on which the filter processing is conducted is stored in a data base to form history voltage data; the data analyzing step, wherein a specialist system conducts analysis on the history voltage data and extracts a feature parameter to form a feature map. By means of the partial discharge on-line monitoring method for the XLPE cable, the insulation state of the XLPE cable can be effectively monitored, and the feasible method is provided for on-line detection and monitoring of the XLPE cable.

Description

A kind of XLPE cable partial discharge monitoring method
Technical field
The present invention relates to a kind of XLPE cable partial discharge monitoring method.
Background technology
The quality of crosslinked polyethylene (XLPE) cable insulation is the key factor that affects cable security reliability service, in the actual moving process of cable, find, most of cable fault is because deteriorated causing occurs cable insulation, past, the widely used preventive trial of China is to adopt the method that regularly has a power failure and test, and belongs to offline inspection.But along with the development of electric power supply, the classic method of this power failure test more and more can not adapt to the actual needs of electrical production and supply.Therefore study on-line monitoring of cable technology, can be in time to cable reasonably safeguard, inspect and change, to guaranteeing that cable reliability service has great importance.
In recent years, in order to ensure the safe operation of cable, China had also obtained certain development on cable insulation on-line monitoring technique.The on-line monitoring method of cable mainly contains DC component method, DC superposition method, shelf depreciation method and low frequency method of superposition etc.These methods of developed countries have obtained applying more widely, accumulate rich experience, China's on-line monitoring technique is at the early-stage, many scholars, expert and research unit carry out follow-up study to external monitoring technology and method, in cable insulation on-line monitoring field, domestic also had a large amount of relevant paper and achievement in research, but the on-line monitoring method of input actual motion is also little at present.Therefore be necessary to study and develop a kind of XLPE cable partial discharge monitoring method, to meet electric power and the industrial and mining enterprises testing requirement to cable insulation, provide in advance the deteriorated early warning information of cable, to prevent trouble before it happens, in advance defective cable is changed or processed, avoid the generation of pernicious ground connection and short trouble.
In the process puncturing in XLPE cable insulation ag(e)ing, all there is transient process in ground wire electric current and insulation resistance, insulation capacitance curve, and before transient process, electric current is almost constant, and after transition, electric current increases sharply.Reason is because cable insulation is all finally punctured by electric branch, and only has in the time that cable destruction is greater than a certain degree, and in cable, concentrating of electric field just can be caused electric branch, and electric current in insulation is increased rapidly.Crosslinked polyethylene (XLPE) cable in insulation ag(e)ing until in the process puncturing, the variation of ground wire electric current has certain trend, along with the development of cable local ageing, the various relation curves of ground wire electric current all exist significantly " transitional period ", before the transitional period, electric current is steady, increase sharply at transitional period after-current, therefore, this " transitional period " can regard cable breakdown fault " early warning phase " as, once entering " early warning phase ", cable also just means that cable insulation enters aging period, should take measures early.
Summary of the invention
The object of the invention is in order to overcome the deficiencies in the prior art, a kind of XLPE cable partial discharge monitoring method is provided, can effectively monitor the state of insulation of XLPE cable, for online detection and the supervision of XLPE cable provide practicable method, help user to find as early as possible the potential insulation defect of cable, arrange ahead of time inspection and maintenance, thereby make powered operation safety, reliable, electrical equipment is safeguarded timely, reduced the loss, reduce production costs.
A kind of technical scheme that realizes above-mentioned purpose is: a kind of XLPE cable partial discharge monitoring method, comprises the following steps:
S1, data collection steps, obtains the real-time voltage signal on the ground wire of corresponding XLPE cable to be measured by sensor;
S2, data aggregation step, described real-time voltage signal is aggregated into capture card by signal distributor box;
S3, data processing step, industrial computer is transferred described real-time voltage signal from described capture card, and described real-time voltage signal is carried out to filtering processing;
S4, data storing step, the described real-time voltage signal of processing is after filtering kept in database, history of forming voltage data;
S5, data analysis step, expert system is analyzed described historical voltage data, extracts characteristic parameter, forms characteristic spectrum.
In a kind of above-mentioned XLPE cable partial discharge monitoring method, described data processing step comprises the following steps:
S301, real-time voltage signal is transferred step, and described industrial computer is transferred described real-time voltage signal from described capture card;
S302, bandpass filtering treatment step, described industrial computer carries out bandpass filtering treatment to the described real-time voltage signal of transferring;
S303, FFT filtering treatment step, described industrial computer carries out the filtering processing of the Suppression of narrow band interference algorithm based on FFT to the described real-time voltage signal through bandpass filtering treatment;
S304, wavelet filtering treatment step, described industrial computer is to carrying out the filtering processing of the denoising algorithm based on small echo through the described real-time voltage signal of FFT filtering processing;
S305, NN filtering treatment step, described industrial computer is to carrying out the filtering processing of the filtering algorithm based on neural network through the described real-time voltage signal of wavelet filtering processing.
In a kind of above-mentioned XLPE cable partial discharge monitoring method, described characteristic parameter in described data analysis step comprises threshold value, arrowband Partial discharge signal, maximum pd quantity, mean discharge magnitude, average discharge current, all square rate, NQN and discharge time, wherein:
Described threshold value, the lower limit of pulse amplitude is put in effective office;
Described arrowband Partial discharge signal, the peak value of data signal in certain narrowband frequency range is put in office;
Described maximum pd quantity, the maximal value that in single power frequency period, pulse amplitude is put in office;
Described mean discharge magnitude, the mean value of pulse amplitude is put in the interior office of single power frequency period;
Described average discharge current, flows through the average current of described sensor side resistance;
Described all square rates, the equal number formulary value that pulse amplitude is put in office;
Described NQN, i.e. standardized discharge time;
, in single power frequency period, there is the number of times discharging in described discharge time.
In a kind of above-mentioned XLPE cable partial discharge monitoring method, described characteristic spectrum in described data analysis step comprises maximum pd quantity phase resolved plot, mean discharge magnitude phase resolved plot, discharge time phase resolved plot, electric discharge amplitude distribution collection of illustrative plates, discharge energy distribution collection of illustrative plates and three-dimensional φ-Q-N collection of illustrative plates, wherein:
Described maximum pd quantity phase resolved plot, represents the maximum pd quantity between each phase region;
Described mean discharge magnitude phase resolved plot, represents the mean discharge magnitude between each phase region;
Described discharge time phase resolved plot, represents the discharge time between each phase region;
Described electric discharge amplitude distribution collection of illustrative plates, the statistics of the discharge time of expression to different amplitudes;
Described discharge energy distribution collection of illustrative plates, the statistics of the discharge energy of expression to different amplitudes;
Described three-dimensional φ-Q-N collection of illustrative plates, reflects the relation between discharge capacity, discharge time and discharge phase all sidedly.
A kind of XLPE cable partial discharge monitoring method of the present invention beneficial effect is compared with prior art: by monitoring curent change on the ground wire of XLPE cable to be measured as differentiating the aging characteristic signal of cable insulation, can effectively monitor the state of insulation of XLPE cable, for online detection and the supervision of XLPE cable provide practicable method, help user to find as early as possible the potential insulation defect of cable, arrange ahead of time inspection and maintenance, thereby make powered operation safety, reliably, electrical equipment is safeguarded timely, reduce the loss, reduce production costs, can meet electric power and the industrial and mining enterprises testing requirement to cable insulation, provide in advance the deteriorated early warning information of cable, to prevent trouble before it happens, in advance defective cable is changed or processed, avoid the generation of pernicious ground connection and short trouble, accuracy is high.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of a kind of XLPE cable partial discharge monitoring method of the present invention;
Fig. 2 is the process flow diagram of data processing step of the present invention.
Embodiment
The present inventor is in order to understand technical scheme of the present invention better, below by embodiment particularly, and is described in detail by reference to the accompanying drawings:
Refer to Fig. 1, embodiments of the invention, a kind of XLPE cable partial discharge monitoring method, comprises the following steps:
S1, data collection steps, obtains the real-time voltage signal on the ground wire of corresponding XLPE cable to be measured by sensor;
S2, data aggregation step, real-time voltage signal is aggregated into capture card by signal distributor box;
S3, data processing step, industrial computer is transferred described real-time voltage signal from described capture card, and described real-time voltage signal is carried out to filtering processing; Data processing step specifically comprises the following steps:
S301, real-time voltage signal is transferred step, and industrial computer is transferred described real-time voltage signal from capture card;
S302, bandpass filtering treatment step, industrial computer carries out bandpass filtering treatment to the real-time voltage signal of transferring;
S303, FFT filtering treatment step, industrial computer carries out the filtering processing of the Suppression of narrow band interference algorithm based on FFT to the described real-time voltage signal through bandpass filtering treatment;
S304, wavelet filtering treatment step, industrial computer is to carrying out the filtering processing of the denoising algorithm based on small echo through the described real-time voltage signal of FFT filtering processing;
S305, NN filtering treatment step, industrial computer is to carrying out the filtering processing of the filtering algorithm based on neural network through the described real-time voltage signal of wavelet filtering processing.
S4, data storing step, the described real-time voltage signal of processing is after filtering kept in database, history of forming voltage data;
S5, data analysis step, expert system is analyzed described historical voltage data, extracts characteristic parameter, forms characteristic spectrum.
S5, the described characteristic parameter in data analysis step comprises threshold value, arrowband Partial discharge signal, maximum pd quantity, mean discharge magnitude, average discharge current, all square rate, NQN and discharge time, wherein:
Threshold value, the lower limit of pulse amplitude is put in effective office;
Arrowband Partial discharge signal, the peak value of data signal in certain narrowband frequency range is put in office;
Maximum pd quantity, the maximal value that in single power frequency period, pulse amplitude is put in office;
Mean discharge magnitude, the mean value of pulse amplitude is put in the interior office of single power frequency period;
Average discharge current, flows through the average current of described sensor side resistance;
All square rates, the equal number formulary value that pulse amplitude is put in office;
NQN, i.e. standardized discharge time;
, in single power frequency period, there is the number of times discharging in discharge time.
S5, described characteristic spectrum in data analysis step comprises maximum pd quantity phase resolved plot, mean discharge magnitude phase resolved plot, discharge time phase resolved plot, electric discharge amplitude distribution collection of illustrative plates, discharge energy distribution collection of illustrative plates and three-dimensional φ-Q-N collection of illustrative plates, wherein:
Maximum pd quantity phase resolved plot, represents the maximum pd quantity between each phase region;
Mean discharge magnitude phase resolved plot, represents the mean discharge magnitude between each phase region;
Discharge time phase resolved plot, represents the discharge time between each phase region;
Electric discharge amplitude distribution collection of illustrative plates, the statistics of the discharge time of expression to different amplitudes;
Discharge energy distribution collection of illustrative plates, the statistics of the discharge energy of expression to different amplitudes;
Three-dimensional φ-Q-N collection of illustrative plates, reflects the relation between discharge capacity, discharge time and discharge phase all sidedly.
In a kind of XLPE cable partial discharge monitoring method application of the present invention, hardware device comprises some XLPE cable to be measured, some sensors, signal distributor box, capture card, industrial computer and expert system, some sensors are connected with some XLPE cable to be measured correspondingly, some sensors are connected with signal distributor box respectively, signal distributor box, capture card, industrial computer and expert system are connected successively, and signal distributor box is also connected with industrial computer.
Industrial computer operating system adopts Windows Server2003; Database on industrial computer adopts SQL Server2005; On industrial computer, configuration software adopts MATLAB R2007b (or MCR of corresponding version).
S5, in data analysis step, expert system has following feature:
1) system the most at last cable insulation state be divided into normal and note two ranks, and can, according to the data of current database and knowledge assessment cable insulation state, provide cable local discharge type and degree of confidence.Cable signal type is divided into: corona, internal discharge, creeping discharge, suspended discharge and noise;
2) system can be supported many circuits, and each circuit compared to analysis;
3) system is supported fuzzy knowledge and fuzzy reasoning, more tallies with the actual situation;
4) system is supported remote monitoring, and expert and user can be by the ruuning situations of long distance control system.In the time that there is something special, expert can assist to confirm failure condition by network remote
The major function of expert system has:
1) automatic analysis and fault diagnosis;
2) show the two and three dimensions characteristic spectrum that detects data recording;
3) historical trend of indicating characteristic parameter, and data back track function is provided;
4) possesses XLPE cable comparing function how to be measured;
5) possess detailed operation and diagnostic log.
In sum, XLPE cable partial discharge monitoring method of the present invention, by monitoring curent change on the ground wire of XLPE cable to be measured as differentiating the aging characteristic signal of cable insulation, can effectively monitor the state of insulation of XLPE cable, for online detection and the supervision of XLPE cable provide practicable method, help user to find as early as possible the potential insulation defect of cable, arrange ahead of time inspection and maintenance, thereby make powered operation safety, reliably, electrical equipment is safeguarded timely, reduce the loss, reduce production costs, can meet electric power and the industrial and mining enterprises testing requirement to cable insulation, provide in advance the deteriorated early warning information of cable, to prevent trouble before it happens, in advance defective cable is changed or processed, avoid the generation of pernicious ground connection and short trouble, accuracy is high.
Those of ordinary skill in the art will be appreciated that, above embodiment is only for the present invention is described, and be not used as limitation of the invention, as long as within the scope of connotation of the present invention, variation, modification to the above embodiment all will drop within the scope of claims of the present invention.

Claims (4)

1. an XLPE cable partial discharge monitoring method, is characterized in that, comprises the following steps:
S1, data collection steps, obtains the real-time voltage signal on the ground wire of corresponding XLPE cable to be measured by sensor;
S2, data aggregation step, described real-time voltage signal is aggregated into capture card by signal distributor box;
S3, data processing step, industrial computer is transferred described real-time voltage signal from described capture card, and described real-time voltage signal is carried out to filtering processing;
S4, data storing step, the described real-time voltage signal of processing is after filtering kept in database, history of forming voltage data;
S5, data analysis step, expert system is analyzed described historical voltage data, extracts characteristic parameter, forms characteristic spectrum.
2. a kind of XLPE cable partial discharge monitoring method according to claim 1, is characterized in that, described data processing step comprises the following steps:
S301, real-time voltage signal is transferred step, and described industrial computer is transferred described real-time voltage signal from described capture card;
S302, bandpass filtering treatment step, described industrial computer carries out bandpass filtering treatment to the described real-time voltage signal of transferring;
S303, FFT filtering treatment step, described industrial computer carries out the filtering processing of the Suppression of narrow band interference algorithm based on FFT to the described real-time voltage signal through bandpass filtering treatment;
S304, wavelet filtering treatment step, described industrial computer is to carrying out the filtering processing of the denoising algorithm based on small echo through the described real-time voltage signal of FFT filtering processing;
S305, NN filtering treatment step, described industrial computer is to carrying out the filtering processing of the filtering algorithm based on neural network through the described real-time voltage signal of wavelet filtering processing.
3. a kind of XLPE cable partial discharge monitoring method according to claim 1, it is characterized in that, described characteristic parameter in described data analysis step comprises threshold value, arrowband Partial discharge signal, maximum pd quantity, mean discharge magnitude, average discharge current, all square rate, NQN and discharge time, wherein:
Described threshold value, the lower limit of pulse amplitude is put in effective office;
Described arrowband Partial discharge signal, the peak value of data signal in certain narrowband frequency range is put in office;
Described maximum pd quantity, the maximal value that in single power frequency period, pulse amplitude is put in office;
Described mean discharge magnitude, the mean value of pulse amplitude is put in the interior office of single power frequency period;
Described average discharge current, flows through the average current of described sensor side resistance;
Described all square rates, the equal number formulary value that pulse amplitude is put in office;
Described NQN, i.e. standardized discharge time;
, in single power frequency period, there is the number of times discharging in described discharge time.
4. according to the arbitrary a kind of described XLPE cable partial discharge monitoring method of claim 1 or 3, it is characterized in that, described characteristic spectrum in described data analysis step comprises maximum pd quantity phase resolved plot, mean discharge magnitude phase resolved plot, discharge time phase resolved plot, electric discharge amplitude distribution collection of illustrative plates, discharge energy distribution collection of illustrative plates and three-dimensional φ-Q-N collection of illustrative plates, wherein:
Described maximum pd quantity phase resolved plot, represents the maximum pd quantity between each phase region;
Described mean discharge magnitude phase resolved plot, represents the mean discharge magnitude between each phase region;
Described discharge time phase resolved plot, represents the discharge time between each phase region;
Described electric discharge amplitude distribution collection of illustrative plates, the statistics of the discharge time of expression to different amplitudes;
Described discharge energy distribution collection of illustrative plates, the statistics of the discharge energy of expression to different amplitudes;
Described three-dimensional φ-Q-N collection of illustrative plates, reflects the relation between discharge capacity, discharge time and discharge phase all sidedly.
CN201410150614.8A 2014-04-15 2014-04-15 Partial discharge on-line monitoring method for XLPE cable Pending CN103901330A (en)

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104360244A (en) * 2014-11-07 2015-02-18 华北电力大学 Solid-state transformer partial discharge on-line monitoring method
CN104375064A (en) * 2014-11-07 2015-02-25 深圳供电局有限公司 Partial discharge online monitoring alarm confidence coefficient analysis method and device
CN104699949A (en) * 2015-01-16 2015-06-10 广东电网有限责任公司佛山供电局 XLPE (cross linked polyethylene) cable partial discharge denoising method based on chaotic annealing wavelet hard threshold method
CN105629136A (en) * 2015-12-28 2016-06-01 国网甘肃省电力公司金昌供电公司 Cable insulation state online automatic monitoring and diagnosis system
CN105988067A (en) * 2015-03-03 2016-10-05 北京华电智成电气设备有限公司 Interference suppression method and device used in partial discharge UHF detection
CN106501695A (en) * 2017-01-06 2017-03-15 云南电网有限责任公司电力科学研究院 A kind of high-tension cable local discharge signal acquisition processing system and method
CN107831404A (en) * 2017-09-22 2018-03-23 国网山东省电力公司电力科学研究院 Method and system based on the legal position XLPE cable partial discharge position of high-frequency pulse current
CN109100619A (en) * 2017-06-21 2018-12-28 北京振兴计量测试研究所 A kind of isolator detection system and method
CN109142992A (en) * 2018-07-11 2019-01-04 国网上海市电力公司 A kind of 35 KV cross-linked cable insulation ag(e)ing state evaluating methods
CN109784782A (en) * 2019-03-05 2019-05-21 清华大学 Electric power supply system for subway dynamic risk analysis appraisal procedure based on fuzzy reasoning
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CN117491720A (en) * 2023-11-27 2024-02-02 江苏宏源电气有限责任公司 Multifunctional monitoring device for voltage and partial discharge measurement and monitoring method thereof

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003075501A (en) * 2001-06-22 2003-03-12 Showa Electric Wire & Cable Co Ltd Partial discharge detecting method and partial discharge detector used for it
CN101650406A (en) * 2009-09-18 2010-02-17 国网电力科学研究院武汉南瑞有限责任公司 Local discharge on-line detection method and device of high-voltage cross-linking polythene cable system
CN201527463U (en) * 2009-09-18 2010-07-14 国网电力科学研究院武汉南瑞有限责任公司 High-voltage cross-linked polyethylene cable system partial discharge on-line detecting device
CN102116842A (en) * 2009-12-31 2011-07-06 比亚迪股份有限公司 System and method for detecting electric property of assembled keys
CN102809721A (en) * 2012-08-22 2012-12-05 哈尔滨理工大学 Radio frequency sensor testing device and on-line monitoring method for high-voltage cable terminal partial discharge on-line monitoring
CN103558534A (en) * 2013-11-20 2014-02-05 国家电网公司 Two-dimensional Weibull parameter spectrum clustering method of high voltage cable discharge signal
CN103713245A (en) * 2014-01-02 2014-04-09 国家电网公司 XLPE cable partial discharge on-line monitoring system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2003075501A (en) * 2001-06-22 2003-03-12 Showa Electric Wire & Cable Co Ltd Partial discharge detecting method and partial discharge detector used for it
CN101650406A (en) * 2009-09-18 2010-02-17 国网电力科学研究院武汉南瑞有限责任公司 Local discharge on-line detection method and device of high-voltage cross-linking polythene cable system
CN201527463U (en) * 2009-09-18 2010-07-14 国网电力科学研究院武汉南瑞有限责任公司 High-voltage cross-linked polyethylene cable system partial discharge on-line detecting device
CN102116842A (en) * 2009-12-31 2011-07-06 比亚迪股份有限公司 System and method for detecting electric property of assembled keys
CN102809721A (en) * 2012-08-22 2012-12-05 哈尔滨理工大学 Radio frequency sensor testing device and on-line monitoring method for high-voltage cable terminal partial discharge on-line monitoring
CN103558534A (en) * 2013-11-20 2014-02-05 国家电网公司 Two-dimensional Weibull parameter spectrum clustering method of high voltage cable discharge signal
CN103713245A (en) * 2014-01-02 2014-04-09 国家电网公司 XLPE cable partial discharge on-line monitoring system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
白媛: "交联聚乙烯电缆局部放电检测软件系统设计与实现", 《中国优秀硕士学位论文全文数据库工程科技II辑》, no. 12, 15 December 2010 (2010-12-15) *
钱勇等: "发电机局部放电在线监测Multi-Agent系统研究", 《高压电器》, vol. 44, no. 1, 29 February 2008 (2008-02-29) *

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CN105988067B (en) * 2015-03-03 2018-11-20 北京华电智成电气设备有限公司 Disturbance restraining method and device in a kind of detection of partial-discharge ultrahigh-frequency
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CN106501695B (en) * 2017-01-06 2019-10-08 云南电网有限责任公司电力科学研究院 A kind of high-tension cable local discharge signal acquisition processing system and method
CN109100619B (en) * 2017-06-21 2020-06-26 北京振兴计量测试研究所 Microwave insulator detection system and method
CN109100619A (en) * 2017-06-21 2018-12-28 北京振兴计量测试研究所 A kind of isolator detection system and method
CN107831404A (en) * 2017-09-22 2018-03-23 国网山东省电力公司电力科学研究院 Method and system based on the legal position XLPE cable partial discharge position of high-frequency pulse current
CN107831404B (en) * 2017-09-22 2020-02-14 国网山东省电力公司电力科学研究院 Method and system for positioning XLPE cable partial discharge position based on high-frequency pulse current method
CN109142992A (en) * 2018-07-11 2019-01-04 国网上海市电力公司 A kind of 35 KV cross-linked cable insulation ag(e)ing state evaluating methods
CN109784782A (en) * 2019-03-05 2019-05-21 清华大学 Electric power supply system for subway dynamic risk analysis appraisal procedure based on fuzzy reasoning
CN109784782B (en) * 2019-03-05 2021-11-05 清华大学 Subway power supply system dynamic risk analysis and evaluation method based on fuzzy inference
CN110488160A (en) * 2019-04-26 2019-11-22 云南电网有限责任公司电力科学研究院 A kind of cable insulation damage detecting method and cable insulation damage detection apparatus
CN110488160B (en) * 2019-04-26 2021-07-06 云南电网有限责任公司电力科学研究院 Cable insulation damage detection method and cable insulation damage detection device
CN110554290B (en) * 2019-10-22 2024-05-24 广东电网有限责任公司 Cable insulation state monitoring device and monitoring method based on state sensing
CN110554290A (en) * 2019-10-22 2019-12-10 广东电网有限责任公司 Cable insulation state monitoring device and monitoring method based on state perception
CN110866340A (en) * 2019-11-18 2020-03-06 广州供电局有限公司 Partial discharge data processing method and device, storage medium and computer equipment
CN112557840A (en) * 2020-11-24 2021-03-26 西南交通大学 XLPE cable insulation state evaluation method based on discharge energy difference
CN112557840B (en) * 2020-11-24 2021-09-21 西南交通大学 XLPE cable insulation state evaluation method based on discharge energy difference
CN112595913A (en) * 2020-12-07 2021-04-02 清华大学 Cable local aging detection method and detection device
CN112595913B (en) * 2020-12-07 2022-07-26 清华大学 Cable local aging detection method and detection device
CN113656479A (en) * 2021-08-18 2021-11-16 国网北京市电力公司 Data processing method and device
CN116804692A (en) * 2023-08-24 2023-09-26 国网浙江省电力有限公司宁波供电公司 Power cable aging state assessment method
CN117034127A (en) * 2023-10-10 2023-11-10 广东电网有限责任公司 Big data-based power grid equipment monitoring and early warning method, system and medium
CN117034127B (en) * 2023-10-10 2023-12-08 广东电网有限责任公司 Big data-based power grid equipment monitoring and early warning method, system and medium
CN117491720A (en) * 2023-11-27 2024-02-02 江苏宏源电气有限责任公司 Multifunctional monitoring device for voltage and partial discharge measurement and monitoring method thereof

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Application publication date: 20140702