GB2431726B - Input vector formation method of neural networks for auto-identification of partial discharge source - Google Patents

Input vector formation method of neural networks for auto-identification of partial discharge source

Info

Publication number
GB2431726B
GB2431726B GB0600677A GB0600677A GB2431726B GB 2431726 B GB2431726 B GB 2431726B GB 0600677 A GB0600677 A GB 0600677A GB 0600677 A GB0600677 A GB 0600677A GB 2431726 B GB2431726 B GB 2431726B
Authority
GB
United Kingdom
Prior art keywords
auto
identification
neural networks
formation method
partial discharge
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
GB0600677A
Other versions
GB2431726A (en
GB0600677D0 (en
Inventor
Sun Geun Goo
Ki Jun Park
Jin Yul Yoon
Joo Sik Kwak
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Korea Electric Power Corp
Original Assignee
Korea Electric Power Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Korea Electric Power Corp filed Critical Korea Electric Power Corp
Publication of GB0600677D0 publication Critical patent/GB0600677D0/en
Publication of GB2431726A publication Critical patent/GB2431726A/en
Application granted granted Critical
Publication of GB2431726B publication Critical patent/GB2431726B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/06—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063—Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
    • G01R31/1254—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of gas-insulated power appliances or vacuum gaps
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
    • G01R31/14—Circuits therefor, e.g. for generating test voltages, sensing circuits

Landscapes

  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Computational Linguistics (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Neurology (AREA)
  • Testing Relating To Insulation (AREA)
  • Remote Monitoring And Control Of Power-Distribution Networks (AREA)
  • Supply And Distribution Of Alternating Current (AREA)
GB0600677A 2005-10-27 2006-01-13 Input vector formation method of neural networks for auto-identification of partial discharge source Expired - Fee Related GB2431726B (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
KR1020050101969A KR100729107B1 (en) 2005-10-27 2005-10-27 Methods of Input Vector formation for Auto-identification of partial discharge source using neural networks

Publications (3)

Publication Number Publication Date
GB0600677D0 GB0600677D0 (en) 2006-02-22
GB2431726A GB2431726A (en) 2007-05-02
GB2431726B true GB2431726B (en) 2010-04-21

Family

ID=37912931

Family Applications (1)

Application Number Title Priority Date Filing Date
GB0600677A Expired - Fee Related GB2431726B (en) 2005-10-27 2006-01-13 Input vector formation method of neural networks for auto-identification of partial discharge source

Country Status (4)

Country Link
JP (1) JP4244353B2 (en)
KR (1) KR100729107B1 (en)
DE (1) DE102006008482B4 (en)
GB (1) GB2431726B (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104391184A (en) * 2014-11-12 2015-03-04 珠海市齐飞信息技术有限公司 Transformer phase loss detection and warning device and method
CN105606976A (en) * 2016-03-09 2016-05-25 国家电网公司 Anti-interference method for GIS partial discharge ultrahigh-frequency on-line monitoring

Families Citing this family (22)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR100853725B1 (en) * 2007-06-20 2008-08-22 (주) 피에스디테크 Gis partial discharge diagnostic method and system thereof with prps algorithm
KR100919293B1 (en) * 2008-09-24 2009-10-01 주식회사 케이디파워 Detecting device series arcs in electrical systems ane methode for detecting the same
KR101051099B1 (en) * 2008-09-30 2011-07-21 한국전력공사 Microwave partial discharge and discharge position measuring device of high voltage power equipment
CN102221651B (en) * 2011-03-11 2015-05-27 太原理工大学 Fault on-line diagnosis and early warning method of flameproof dry-type transformer for mine
US20120330871A1 (en) * 2011-06-27 2012-12-27 Asiri Yahya Ahmed Using values of prpd envelope to classify single and multiple partial discharge (pd) defects in hv equipment
FR2981457B1 (en) * 2011-10-12 2015-04-03 Michel Gaeta METHOD AND DEVICE FOR DETECTING DYSFUNCTION IN AN ELECTRICAL NETWORK
CN105334436B (en) * 2015-10-30 2018-08-10 山东电力研究院 Crosslinked cable Partial Discharge Pattern Recognition Method based on SOM-BP combination neural nets
WO2018042588A1 (en) * 2016-09-01 2018-03-08 株式会社 東芝 Partial discharge monitoring system
US11656279B2 (en) 2017-10-16 2023-05-23 Hitachi Energy Switzerland Ag Method for monitoring circuit breaker and apparatus and internet of things using the same
KR102051670B1 (en) 2017-12-19 2019-12-04 한국전력공사 Apparatus, system and computer readable recording medium for detecting defective material of electric power equipment
CN108896857B (en) * 2018-07-06 2020-12-01 北京四方继保自动化股份有限公司 Deep learning-based complex working condition identification method for transformer
KR102183305B1 (en) 2018-08-03 2020-11-26 국민대학교산학협력단 Apparatus and method for determining neural network feature vector
KR102089187B1 (en) * 2018-12-11 2020-03-13 한국전력공사 Diagnostic system and method for power cable junction box
CN110096723B (en) * 2019-01-22 2023-05-16 国网山西省电力公司长治供电公司 High-voltage switch cabinet insulation state analysis method based on operation and maintenance detection big data
CN110286303A (en) * 2019-07-10 2019-09-27 国家电网有限公司 A kind of coaxial cable insulation cable ageing state appraisal procedure based on BP neural network
KR102289411B1 (en) 2019-08-27 2021-08-12 국민대학교산학협력단 Weighted feature vector generation device and method
KR102269652B1 (en) 2019-09-24 2021-06-25 국민대학교산학협력단 Machine learning-based learning vector generation device and method for analyzing security logs
KR102289401B1 (en) 2019-10-14 2021-08-12 국민대학교산학협력단 Apparatus and method for generating feature vector with label information
CN111707915B (en) * 2020-07-10 2022-10-14 中车唐山机车车辆有限公司 Online insulation evaluation method and device based on partial discharge of traction motor
KR102607227B1 (en) * 2020-09-15 2023-11-29 한국전력공사 System and Method for monitoring partial discharge using sensor data
KR20230165650A (en) 2022-05-27 2023-12-05 국민대학교산학협력단 Security event analysis and visualization apparatus and method based on graph random walk with restart
CN115453286B (en) * 2022-09-01 2023-05-05 珠海市伊特高科技有限公司 GIS partial discharge diagnosis method, model training method, device and system

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5724247A (en) * 1993-09-27 1998-03-03 Siemens Aktiengesellschaft Method of generating a signal indicating the direction of a short-circuit
JPH1078471A (en) * 1996-09-03 1998-03-24 Furukawa Electric Co Ltd:The Measuring method for partial discharge
GB2375244A (en) * 2001-02-27 2002-11-06 Smiths Group Plc Arc fault detection system

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5260871A (en) * 1991-07-31 1993-11-09 Mayo Foundation For Medical Education And Research Method and apparatus for diagnosis of breast tumors
US6650779B2 (en) * 1999-03-26 2003-11-18 Georgia Tech Research Corp. Method and apparatus for analyzing an image to detect and identify patterns
KR200487036Y1 (en) * 2017-09-22 2018-08-28 동서위생 주식회사 Cotton

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5724247A (en) * 1993-09-27 1998-03-03 Siemens Aktiengesellschaft Method of generating a signal indicating the direction of a short-circuit
JPH1078471A (en) * 1996-09-03 1998-03-24 Furukawa Electric Co Ltd:The Measuring method for partial discharge
GB2375244A (en) * 2001-02-27 2002-11-06 Smiths Group Plc Arc fault detection system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104391184A (en) * 2014-11-12 2015-03-04 珠海市齐飞信息技术有限公司 Transformer phase loss detection and warning device and method
CN104391184B (en) * 2014-11-12 2017-04-12 珠海市齐飞信息技术有限公司 Transformer phase loss detection and warning device and method
CN105606976A (en) * 2016-03-09 2016-05-25 国家电网公司 Anti-interference method for GIS partial discharge ultrahigh-frequency on-line monitoring
CN105606976B (en) * 2016-03-09 2018-09-18 国家电网公司 A kind of anti-interference method for GIS partial discharge superfrequency on-line monitoring

Also Published As

Publication number Publication date
DE102006008482B4 (en) 2010-10-07
JP4244353B2 (en) 2009-03-25
GB2431726A (en) 2007-05-02
JP2007124880A (en) 2007-05-17
KR20070045558A (en) 2007-05-02
KR100729107B1 (en) 2007-06-14
GB0600677D0 (en) 2006-02-22
DE102006008482A1 (en) 2007-05-03

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Legal Events

Date Code Title Description
PCNP Patent ceased through non-payment of renewal fee

Effective date: 20100721