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《High Voltage Engineering》 2006-08
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Application of Nguyen-widrow Method in Transformer Dissolved Gas-in-oil Analysis Fault Diagnosis

XU Zhiniu,L Fangcheng (Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control Under Ministry of Education, North China Electric Power University, Baoding 071003, China)  
For solving the problem of slow convergence speed of ANN used in transformer fault diagnosis based on dissolved gas-in-oil analysis (DGA), Nguyen-Widrow method is used to initialize the variable parameters of ANN. The weight value and bias value of ANN are adjusted by the method to make neurons of hidden layer have equal linear interval, so the computation quantity of ANN is reduced, and the convergence speed of ANN is increased, learn capacity and fault diagnosis accuracy of ANN is improved. A neural network take 5-80-6 as architecture, and 393 samples are used to train, and 155 samples are used to verify effect of training is build. The method of Nguyen-Widrow makes the training error sum of square of ANN from 37.1 down to 15.21, and make the diagnosis accuracy of ANN from 80.97% improved to 84.49%. The effect of the method is verified by the training result and diagnosis reuslt of ANN for transformer fault diagnosis.
【CateGory Index】: TM407
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【References】
Chinese Journal Full-text Database 3 Hits
1 ZHANG Kai1, HUANG Hua-ping2, YANG Hai-tao3, XIE Qing2 (1. Shijiazhuang Power Supply Corporation, Shijiazhuang 050000, Hebei Province, China; 2. Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control (North China Electric Power University), Ministry of Education, Baoding 071003, Hebei Province, China; 3. Communication and Dispatching Center of Guang’an Electric Power Bureau, Guang’an 638000, Sichuan Province, China);A Transformer Fault Diagnosis Method Integrating Improved Genetic Algorithm With Least Square Support Vector Machine[J];Power System Technology;2010-02
2 WANG Gang1,4,YANG Hai-tao2,HU Wei-tao3,HUANG Hua-ping4,LI Ning-yuan4(1.Binhai Electric Power Bureau,Tianjin 300450,China;2.Guang′an Electric Power Bureau,Guang′an 638000,China;3.Hebei Electric Power Corporation Extra-High Voltage Transmission & Transformation Branch,Shijiazhuang 050070,China;4.Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control,Ministry of Education,North China Electric Power University,Baoding 071003,China);Predicting Method for Dissolved Gas in Transformer Oil Based on Improved Genetic Algorithm and LS-SVM[J];High Voltage Apparatus;2010-09
3 SHA Li-Cheng1,2,SONG Jun-Cheng3(1.School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China;2.Dispatching and Communication Center of Beijing Electric,Beijing,100031,China;3.Jun Liangcheng Electric Power Co.Ltd of Dongli District in Tianjin,Tianjin 300300,China);Predicting method for dissolved gas in transformer oil based on modified particle swarm optimization[J];Journal of North China Electric Power University(Natural Science Edition);2011-01
【Citations】
Chinese Journal Full-text Database 8 Hits
1 ;Application of Fuzzy ISODATA Method for Insulation Diagnosis of Power Transformers[J];HIGH VOLTAGE ENGINEERING;1999-01
2 Qing Zheng et al.;Recognition of Overheating and Discharsing Fault of Power Transformer Using Multivariate Statistical Analysis[J];HIGH VOLTAGE ENGINEERING;1999-02
3 ;Fault Diagnosis of Power Transformer Based on Case Based Reasoning Integrated with Neural Network[J];HIGH VOLTAGE ENGINEERING;2000-04
4 ;The Object-Oriented Knowledge Base of Insulation Fault Diagnosis in Transformer and the Realization of Expert System[J];High Voltage Engineering;2001-01
5 ;Fuzzy Set Analysis of Dissolved Gas Applied to Fault Diagnosis of Power Transformer[J];High Voltage Engineering;2001-03
6 Liu Yi et al;The Faults Diagnosis for Transformer Based on Fuzzy Optimum Distance[J];High Voltage Engineering;2003-07
7 Wang Shaofang et al;Application of Hybrid Algorithm Based on GA-BP in Transformer Diagnosis Using GAS Chromatographic Method[J];High Voltage Engineering;2003-07
8 Wang Caisheng, Sun Caixin, Liao Ruijin (Department of Electrical Engineering,Chongqing University, Chongqing,630044,P.R.China);Monitoring Transformer Chromatography with BPNN Faults Diagnosis Method[J];CHINESE SOCIETY FOR ELECTRICAL ENGINEERING;1997-05
【Co-references】
Chinese Journal Full-text Database 10 Hits
1 WANG Yan~(1,2*),CHEN Xiang-dong~1,ZHAO Jing~11.School of Information Science and Technology,Southwest Jiaotong University,Chengdu 610031,China;2.Department of Electronics Science and Engineering,Heilongjiang Institute of Technology,Harbin 150050,China;Study on Electronic Nose Recognition Method with Fast Independent Component Analysis and Neural Network[J];Chinese Journal of Sensors and Actuators;2007-01
2 Liao Ruijin Yao Chenguo Sun Caixin Gu Leguan(Chongqing University 400044 China);Blackboard Expert System of Multi-expert Cooperating Diagnosis in Transformers'Insulation[J];Transactions of China Electrotechnical Society;2002-01
3 Liu Na Gao Wensheng Tan Kexiong (Department of Electrical Engineering Tsinghua University 100084 China);Fault Diagnosis of Power Transformer Using a Combinatorial Neural Network[J];Transactions of China Electrotechnical Society;2003-02
4 Zhang Jianguang1 Zhou Hao1 Xiang Canfang2 (1.Zhejiang University Hangzhou 310027 China 2.China Electric Power Research Institute Beijing 100085 China);Application of Super SAB ANN Model for Transformer Fault Diagnosis[J];Transactions of China Electrotechnical Society;2004-07
5 Niu Dongxiao Liu Da Chen Guangjuan Feng Yi (North China Electric Power University Beijing 102206 China);Support Vector Machine Models Optimized by Genetic Algorithm for Hourly Load Rolling Forecasting[J];Transactions of China Electrotechnical Society;2007-06
6 Su Pengsheng, Wang Huan (Tsinghua University, Beijing 100084, China);TECHNOLOGY ANALYSIS OF STATE MONITORING AND FAULT DIAGNOSIS IN ELECTRIC POWER SYSTEMS[J];Automation of Electric Power Systems;2003-01
7 Huang Wentao, Zhao Xuezeng, Wang Weijie, Dai Lizhou (Harbin Institute of Technology, Harbin 150001, China);EXTENSION DIAGNOSIS METHOD OF POWER TRANSFORMER FAULTS BASED ON MATTER-ELEMENT MODEL[J];Automation of Electric Power Systems;2004-13
8 Yuan Baokui Guo Jiwei Tang Guoqing (Department of Electrical Engineering Southeast University, Nanjing,210096);METHOD OF PREDICTING THE GAS-IN-OIL CONCENTRATIONS IN TRANSFORMERS BASED ON GREY THEORY[J];Proceedings of The Csu-epsa;2001-03
9 Lü Gan-yun, CHENG Hao-zhong, DONG Li-xin, ZHAI Hai-bao (Department of Electrical Engineering,Shanghai Jiaotong University, Shanghai 200 030, China);Fault Diagnosis of Power Transformer Based on Multi-La yer SVM Classifier[J];Proceedings of Electric Power System and Automation;2005-01
10 WANG Zhi-zheng,YU Yue-feng,YAO Guo-ping(School of Mechanical Engineering,Shanghai Jiao tong University,Shanghai200240,China);Power load forecast based on principal component analysis and adaptive neuro-fuzzy inference system[J];Electric Power Automation Equipment;2003-09
【Secondary References】
Chinese Journal Full-text Database 1 Hits
1 CHEN Gang1,GOU Xu2,ZHANG Jihong3(1.State Key Laboratory of Power Transmission Equipment & System Security and New Technology(Chongqing University),Shapingba District,Chongqing 400044,China;2.Sichuan Electric Power Design and Consulting Co.Ltd.,Chengdu 610016, Sichuan Province,China;3.Chongqing Electric Power Trading Center,Yuzhong District,Chongqing 400014,China);Hopf Bifurcation Control of Voltage Stability Based on Two-Stage Kindred-Protected Genetic Algorithm[J];Power System Technology;2011-01
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 Cai Chaohao Shenyang Institute of Electric Power, Shenyang, 110025;The Early Stage Fault Diagnosis of Power Transformer by Artificial Neural Networks[J];TRANSFORMER;1997-01
2 GAO Wensheng\ TAN Kexiong (Department of Electrical Engineering, Tsinghua University,100084) YAN Zhang (Department of Electrical Engineering, Xi'an Jiaotong University,710049);FAULT DIAGNOSIS OF INSULATION IN POWER TRANSFORMER BASED ON DISSOLVED GAS ANALYSIS METHOD[J];ADVANCED TECHNOLOGY OF ELECTRICAL ENGINEERING AND ENERGY;2000-01
3 Sun Caixin; Liao Ruijin; Chen Weigen (Chongqing University)Feng Daoxun; Zhou Zuchun; Song Zinan (Guizhou Electrical Industrial Bureau);Detecting of Gases Dissolved in Transformer Oil On-Line[J];TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY;1996-02
4 Zhang Mingliu Sun Caixin(Chongqing University);Study on Fault Diagnosis of Transformer DGA Method with Fuzzy Multi-Criteria Analysis[J];TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY;1998-01
5 He Ding, Tang Guoqing, Chen Heng (Southeast University, Nanjing);A NEURAL NETWORK APPROACH TO POWER TRANSFORMER FAULT DIAGNOSIS[J];Automation of Electric Power Systems;1993-08
6 Zhou Ming1 ,Ren Jianwen1 ,L i Gengyin1 ,Xu K aili2 1.North China Electric Power University,Baoding0 710 0 3,China 2 .University of Wyom ing,U SA;DISTRIBUTED POWER SYSTEM FAULT DIAGNOSISEXPERT SYSTEM BASED ON FUZZY INFERENCE[J];Automation of Electric Power Systems;2001-24
7 Ding Xiaoqun(Hohai University.210024.Nanjing.China)Liu Y(Virginia Tech.and Univ.Blacksburg VA24061.U.S.A)Lin Zhongyun(Nanjing Cememt Desige and Research Institute.210029.Nanjing.China);TRANSFORMER FAULT DIAGNOSIS USING ANN[J];AUTOMATION OF ELECTRIC POWER SYSTEMS;1996-02
8 Xu Wen; Wang Dazhong; Zhou Zecun (Southeast University. 210096. Nanjing. China)Li Yiming (Taiyuan No. 1 Thermal Power Plant. Taiyuan. China);APPLICATION OF FUZZY MODEL IDENTIFICATION ON FAULT DIAGNOSIS OF POWER EQUIPMENTS[J];AUTOMATION OF ELECTRIC POWER SYSTEMS;1996-03
9 Li Tianyun, Ying Hong, Zhang Yuhui (Northeast Institute of Electric Power Engineering, 132012, Jilin, China);THE GREY FAULT DIAGNOSIS OF TRANSFORMER[J];AUTOMATION OF ELECTRIC POWER SYSTEMS;1996-11
10 Wang Ping(Hohai University, 210024,Nanjing,China);TRANSFORMER FAULT FUZZY DIAGNOSIS BASED ON THE FUZZY SYNTHETIC JUDGEMENT[J];AUTOMATION OF ELECTRIC POWER SYSTEMS;1996-12
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