Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Yibin University》 2015-12
Add to Favorite Get Latest Update

Development of Neural Networks in Transformer Fault Diagnosis

LIAO Jianwen;ZHANG Yan;SUN Hong;Department of Electronic Information and Control Engineering,Yibin Vocational and Technical College;Yibin Mechatronics Research Inst Itute;  
The development of transformer fault diagnosis relates to information technology and artificial intelligence tech-nology closely. Neural network and its optimization algorithm are widely used in transformer fault diagnosis. Both networkstructure and optimization of algorithm relate to accuracy and real time of fault diagnosis. The study found that the integra-tion of mathematical theory and neural networks and quantum neural computation helps to improve troubleshooting capa-bilities, and it has become a trend of neural networks.
【Fund】: 四川省教育厅重点项目(15ZA0397);; 宜宾职业技术学院科研项目(ybzysc14-36)
【CateGory Index】: TP183;TM407
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 2 Hits
1 Peng Ningyun, Wen Xishan, Shu Xiang (Electrical Engineering Institute of Whuhan University, Wuhan 430072, China);APPLICATION OF FUZZY NEURAL NETWORK TO TRANSFORMER FAULT DIAGNOSIS[J];High Voltage Engineering;2004-05
2 WANG Nanlan,QIU Derun(Electrical Engineering Department of HunanUniversity of Arts and Sciences,Changde 415000,China);New Method of Power Transformer Fault Diagnosis by Dissolved Gas-in-oil Analysis[J];High Voltage Engineering;2006-06
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 XUE Jin-dong 1,WANG Qi 2(1.Electronic Engineering School,North China Electric Power University,Beijing 102206,China; 2.Engineering College of Shanxi University,Taiyuan 030013,China);Transformer Fault Diagnosis Based on Clone Selection Algorithm[J];Journal of Electric Power;2012-02
2 Sun Na1,Wang Yufan2,Lu Xuming3 (1.School of Electrical and Electronic Engineering,North China Electric Power University,Baoding 071003,China;2.Department.of Software Engineer,Software Institute of Hebei,Baoding 071003,China; 3.Power Supply Bureau of Xiaoshan,Xiaoshan 311200,China);Research on Transformer Condition Grading Based on TOPSIS[J];Electric Power Science and Engineering;2011-03
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 Cheng Xiangjie Gao Qinxiang (School of Electrical Engineering, Beijing Jiaotong Univ, Beijing 100044);Application of Fuzzy Neural Network to Transformer Fault Diagnosis by Dissolved Gas-in-oil[J];Electrical Engineering;2007-11
5 CHENG Qi-ming,TANG Wen (College of Power and Automation, Shanghai University of Electric Power, Yangpu District, Shanghai 200090, China);The Comparison Research on Three Kinds of Fault Diagnosis of Power Transformer[J];Power System Technology;2006-S2
6 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
7 JIANG Huilan1, GUAN Ying1, LIU Fei1, XU Jianqiang2 (1. Tianjin University, Tianjin 300072, China; 2. Daqing Oil Field Management Board, Daqing 163000, China);Transmission Line Fault Diagnosis Based on RBF Network with HCM Clustering Algorithm[J];High Voltage Engineering;2005-06
8 LUO Ri-cheng1,LI Wei-guo2,WEN Xi-shan3 (1.School of Electrical and Information Engineering,Changsha University of Science and Technology,Changsha 410076,China;2.School of Electrical & Electronic Engineering,North China Electric Power University,Beijing 102206,China;3.School of Electrical Engineering,Wuhan University,Wuhan 430072,China);Experimental Study on Partial Discharges Localization Within Large Transformer[J];High Voltage Engineering;2007-08
9 CHEN Wei-gen,QIAN Guo-chao,LI Ming(The Key Laboratory of High Voltage and Electrical New Technology of Ministry of Education,Chongqing University,Chongqing 400044,China);Method of Fault Diagnosis for Power Transformer with Multi-parameters[J];High Voltage Engineering;2007-08
10 LUO Si-jia,LIAO Rui-jin,WANG You-yuan,LIU Ling(The Key Laboratory of High Voltage and Electrical New Technology of Ministry of Education,Chongqing University,Chongqing 400044,China);Fuzzy Synthetic Evaluation of Power Transformer Condition with Variable Weights[J];High Voltage Engineering;2007-08
China Proceedings of conference Full-text Database 1 Hits
1 CHENG Qi-ming, TANG Wen (College of Power and Automation, Shanghai University of Electric Power, Yangpu District, Shanghai 200090, China);The Comparison Research on Three Kinds of Fault Diagnosis of Power Transformer[A];[C];2006
【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 Li Hua ; Sun Caixin; Hu Xuesong(Chongqing University 400044 China) Yue Gang; Tang Nengfan ;Wang Ken(Chongqing Power Plant);Study of Method on Adaptive Wavelets Network for Vibration Fault Diagnosis of Steam Turbine-Generation Set[J];TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY;2000-03
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 Gao Wensheng Gao Ning Yan Zhang(Xi'an Jiaotong University);Application of Adaptive Wavelet Classification Network for Fault Diagnosis in Oil Immersed Power Equipment[J];Transactions of China Electrotechnical Society;1998-06
5 WANG Shao-fang,CAI Jin-ding,LIU Qing-zhen (Dept.of Electrical Engineering,Fuzhou University,Fuzhou 350002,Fujian Province,China);POWER TRANSFORMER FAULT DIAGNOSIS BY IMPROVED HYBRID ALGORITHM BASED ON GENETIC ALGORITHM AND BACK PROPAGATION ALGORITHM[J];Power System Technology;2004-04
6 Zhang Bangli LjYingguo;Cao Changxiu;Construction of Wavelet Neural Networks and its Robustness Analysis of Learning Algorithm[J];JOURNAL OF CHONGQING UNIVERSITY(NATURAL SCIENCE EDITION);1995-06
7 ;Application of Data Reliability Analysis and BP Neural Nwtwork for Transformer Fault Diagnosis[J];HIGH VOLTAGE ENGINEERING;1999-01
8 ;Fault Diagnosis of Power Transformer Based on Case Based Reasoning Integrated with Neural Network[J];HIGH VOLTAGE ENGINEERING;2000-04
9 Zhao Xue-zhi Zou Chun-hua Chen Tong-jian Ye Bang-yan Peng Yong-hong(1.College of Mechanical Engineering, South China Univ. of Tech., Guangzhou 510640, China; 2. Guangzhou Henglong Mechatronic Machining Limited Corporation, Guangdong Conghua 510990, China);A Research on the Initialization of Parameters of Wavelet Neural Networks[J];Journal of South China University of Technology(Natural Science);2003-02
10 Yang Jincai\ Han Jie\ Guan Huiling\ Liang Chuan (Research Institute,Vibration Engineering,Zhengzhou University of Technology,Zhengzhou 450002,China) Yin qiling (The No.3 LPG Plant, Zhongyuan Oilfield,Puyang 457061,China);A METHOD EXTRACTING FUZZY DIAGNOSIS KNOWLEDGE BY USING NEURAL NETWORK[J];JOURNAL OF MECHANICAL STRENGTH;1999-02
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved