Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Power System Protection and Control》 2015-08
Add to Favorite Get Latest Update

Fault diagnosis of transformer based on the cuckoo search and support vector machine

XUE Haoran;ZHANG Keheng;LI Bin;PENG Chenhui;NARI Group Corporation (State Grid Electric Power Research Institute);China Real Time Database Co.,Ltd.;  
Power transformer is one of the important equipment in power system operation,correct diagnosis of the fault and defects is related to the safe operation of the entire grid.Support vector machine(SVM) can better solve the multi-classification with small sample and nonlinear characteristics,it is suitable for fault diagnosis of transformer.In this paper,we get the best global optimal solution of SVM using the cuckoo search algorithm,and get the SVM classification model with the best parameters.In this classification model,the relative content of each gas of dissolved gas analysis(DGA) is put as the evaluation indexes.The transformer fault is divided into 4 types of fault,i.e.low energy discharge,high energy discharge,mid-low temperature overheating,and high temperature overheating.Through the analysis of the existing data instance,the accuracy of the classification model using cuckoo search algorithm is better than that using grid search(GS),particle swarm optimization(PSO) and genetic algorithm(GA).
【CateGory Index】: TM407;TP18
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 10 Hits
1 Peng Wenji Luo Xingqi (Xi’an University of Technology Xi’an 710048 China);Vibration Fault Diagnosis of Hydro-Turbine Generating Unit Based on Rough Sets and Support Vector Machine[J];Transactions of China Electrotechnical Society;2006-10
2 ZHANG Jun-min,YIN Jun-hua,JIANG Xiao-xu(Henan Pinggao Electric Co.,Ltd.,Pingdingshan 467001,China);Application of RBF Network-based State Assessment Technique of High Voltage Switchgear to Intelligent GIS[J];High Voltage Apparatus;2013-03
3 REN Jing,HUANG Jia-dong(Key Laboratory of Power System Protection and Dynamic Security Monitoring and Control of Ministry of Education,North China Electric Power University,Baoding 071003,China);Transformer fault diagnosis based on immune RBF neural network[J];Power System Protection and Control;2010-11
4 XIANG Wen-qiang,ZHANG Hua,WANG Heng,XIE Xing-zhe(Sichuan Provincial Key Laboratory of Robot Technology & Application,Southwest University of Science and Technology,Mianyang 621010,China);Application of BP neural network with L-M algorithm in power transformer fault diagnosis[J];Power System Protection and Control;2011-08
5 YIN Jin-liang 1 , ZHU Yong-li 1 , YU Guo-qin 2 (1. School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China; 2. Shanghai Electric Power Company, Shanghai 200025, China);New transformer fault diagnosis method based on multi-class relevance vector machine[J];Power System Protection and Control;2013-05
6 CHENG Jia-tang, AI Li, DUAN Zhi-mei (Engineering College, Honghe University, Mengzi 661199, China);Transformer fault diagnosis based on improved evidence theory and neural network integrated method[J];Power System Protection and Control;2013-14
7 XU Hui-jun;WANG Zong-yao;SU Hao-yi;Nanchang Institute of Technology;Xiangtan Power Supply Bureau;;Dissolved gas analysis based feedback cloud entropy model for power transformer fault diagnosis[J];Power System Protection and Control;2013-23
8 Dai Zhen;School of Software,Hunan Vocational College of Science and Technology;;INTERNET HOT TOPIC PREDICTION BASED ON SUPPORT VECTOR MACHINE OPTIMISED BY CUCKOO SEARCH ALGORITHM[J];Computer Applications and Software;2014-04
9 ZHAO Xu-tong;SHEN Qian;XU Jia-xiang;YANG Chao;LIU Lin;Institute of Electronic Information and Electric Engineering,Shanghai Jiaotong University;Jinan Electric Power Company;Xi'an Power Supply Bureau;Suzhou Power Supply Company;Zibo Electric Power Company;;Fault Diagnosis for Power Transformer Based on IEC Three-ratio and Extension Association with Combined Weights[J];Power System and Clean Energy;2013-08
10 CHEN Jian;CHEN Xue-gang;ZHANG Jia-lu;CHENG Jie-ren;Institute of Disaster Prevention Science and Technology;Department of Computer Science,Xiangnan University;Department of Mathematics,Xiangnan University;Institute of Software,Hangzhou Dianzi University;;Network Intrusion Detection Model Based on Least Squares Support Vector Machine Optimized by Modify Cuckoo Search Algorithm[J];Microelectronics & Computer;2013-10
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 Shen Tao,Zhu Yongli,Li Qiang,Su Peng(School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China);Power Transformer Condition Evaluation Based onSupportVector Machine and DGA[J];Electric Power Science and Engineering;2008-02
2 XU Jing-zhou,CHEN Xiao,GUO Xuan(Nanjing Electric Power Supply Company,Nanjing 210008,China);Co-ordination and system decision-making of reliability and economy in distributed power sources planning[J];Power Demand Side Management;2009-05
3 ZHU Yong-li,SHEN Tao,LI Qiang(School of Electrical and Electronic Engineering,North ChinaElectric Power University,Baoding 071003,China);Transformer Condition Assessment Based on Support Vector Machine and DGA[J];Proceedings of the Chinese Society of Universities for Electric Power System and its Automation;2008-06
4 SONG Zhi-Jie,WANG Jian(College of Power,South China University of Technology,Guangzhou 510640,China);Transformer Fault Diagnosis Based on BP Neural Network Optimized by Fuzzy Clustering and LM Algorithm[J];High Voltage Apparatus;2013-05
5 WU Hao1,LUO Yi1,CAI Liang2(1.Automation and Electronic Information Engineering,Sichuan University of Science & Engineering,Zigong 643000,P.R.China; 2.Bazhong Electric Power Bureau of Sichuan,Bazhong 636000,P.R.China);New fault type recognition method in transmission line based on RBF neural network[J];Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition);2013-03
6 WANG Yuanzhang,LI Zhihua,WU Chunhua,ZHOU Diqing,FU Li(Shanghai Key Laboratory of Power Station Automation Technology(Shanghai University),Zhabei District,Shanghai 200072,China);A Survey of Online Fault Diagnosis for PV Module Based on BP Neural Network[J];Power System Technology;2013-08
7 WEN Hua-rong1,LI Zhi2,FENG Yi3,WU Xiao-di3(1.Tibet Military Command Automation Station,Lhasa850000,China;2.73677 Army Unit,Nanjing210000,China;3.Electronic Engineering Institute,Hefei230037,China);Object Recognition Based on Invariant Moment and Improved Back Propagation Neural Network[J];Electro-Optic Technology Application;2013-04
8 Yang Xiaodong;Shi Liping;Xia Zhenglong;School of Information and Electrical Engineering China University of Mining and Technology;;IGBT Open Circuit Fault Diagnosis Method for Static Synchronous Compensators[J];Transactions of China Electrotechnical Society;2013-12
9 Li Jiansheng;Liang Jun;Yun Zhihao;Han Xueshan;Zhong Feng;Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education Shandong University;;Probability Analysis of Progressive Changes of Equipment State Based on Electrical Information[J];Transactions of China Electrotechnical Society;2013-10
10 GUO Lei;ZHANG Sheng-nan;ZHANG Lei;LIU Jia;CHEN Li;North Subsection of State Grid Corporation of China;Maintenance Branch of Chongqing Electric Power Corporation;China Electric Power Press;;Power transformer condition evaluation based on samples bootstrap method[J];Journal of Electric Power Science and Technology;2013-04
【Secondary Citations】
Chinese Journal Full-text Database 10 Hits
1 XIAO Yancai,ZHANG Qing(School of Mechanical,Electronic and Control Engineering,Beijing Jiaotong University,Beijing 100044,China);Research of transformer fault diagnosis based on fuzzy support vector machines[J];Journal of Beijing Jiaotong University;2012-01
2 Ma Shidong Han Liang Gong Guanghong Song Xiao(School of Automation Science and Electrical Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100191,China);Target threat assessment technology based on cloud model[J];Journal of Beijing University of Aeronautics and Astronautics;2010-02
3 YANG Hai-ma1,LIU Jin2,ZHANG Jing2(1.University of Shanghai for Science and Technology,Shanghai 200093,China;2.Shanghai University of Engineering and Science,Shanghai 201620,China);Application of BP Neural Network to Transformer Fault Diagnosis[J];Transformer;2009-01
4 WANG Qing, BA De-chun, WANG Xiao-dong(School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110004, China. );Intelligent Fault Diagnosis Model Based on Rough Sets and Decision Tree Theory[J];JOURNAL OF NORTHEASTERN UNIVERSITY;2005-01
5 Wang Nan Lü Fangcheng Liu Yunpeng Li Heming (North China Electric Power University Baoding 071003 China);Study on Application of Petri Nets Model of Transformer Fault Diagnosis Based on Decision Table Reduction[J];Transactions of China Electrotechnical Society;2003-06
6 Li Zhong Yuan Jinsha Zhang Liwei(North China Electric Power University Baoding 071003 China);Fault Diagnosis for Power Transformer Based on the Self-Organization Antibody Net[J];Transactions of China Electrotechnical Society;2010-10
7 Liu Jia1 Xu Guoai1 Gao Yang1 Yang Yixian1 Cheng Gong2 (1.Beijing University of Posts and Telecommunications Beijing 100876 China 2.National Computer Network and Information Security Administration Center Beijing 100029 China);The Algorithm of Power System Security Detection Comprehensive Decision Based on Dempster-Shafer Theory Improved Combination Rule[J];Transactions of China Electrotechnical Society;2011-07
8 YANG Cheng-fu1,2 and ZHANG Yi1(1.Computational Intelligence Laboratory,University of Electronic Science and Technology of China Chengdu 610054;2.Officer of Education Administrator,Sichuan University of Arts and Science Dazhou Sichuan 635000);Study to Speaker Recognition Using RVM[J];Journal of University of Electronic Science and Technology of China;2010-02
9 FENGZhi\|peng1,DUJin\|lian2,SONGXi\|geng1,CHIZhong\|xian2,GEYu\|lin3,SUNYu\|ming4( 1.Res. Inst. of Intern. Combust. Engine, Dalian Univ. of Technol., Dalian 116024, China;2.Dept. of Comput. Sci., Dalian Univ. of Technol., Dalian 116024, China;3.Des. Inst. of Jinzhou Petrochem. Co., Jinzhou 121000, China;4.Liaoning Petrochem. School, Jinzhou 121000, China );Fault diagnosis based on integration of rough sets and neural networks[J];Journal of Dalian University of Technology;2003-01
10 Xin Haipeng1,Peng Yonglong1,He Ping2,Ren yazhao1(1.Schllo of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China 2.TianWei Group,Baoding 071003,China);Extension Diagnosis Research of Power Transformer Faults Based on Matter-element Model[J];Electric Power Science and Engineering;2011-09
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved