Transformer fault diagnosis based on immune RBF neural network

Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control

Volumn 38, Issue 11, 2010, Pages

  Ren, Jing ^a   Huang, Jia Dong ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Artificial immune clustering; Fault diagnosis; Power transformer; RBF neural network

Indexed keywords

ARTIFICIAL IMMUNE; ARTIFICIAL IMMUNE CLUSTERING; CAPACITY-OF-NETWORK; COMPARISON RESULT; CONNECTION WEIGHTS; DISSOLVED GAS ANALYSIS; FAULT DIAGNOSIS; HIDDEN LAYERS; IMMUNE CLUSTERING; INITIAL POSITION; MIXED METHOD; RBF NETWORK; RBF NEURAL NETWORK; TRANSFORMER FAULT DIAGNOSIS;

CLUSTERING ALGORITHMS; COMPUTATIONAL COMPLEXITY; DISSOLUTION; FAILURE ANALYSIS; LOCOMOTIVES; POWER TRANSFORMERS; RADIAL BASIS FUNCTION NETWORKS; RAILROAD CARS; TRANSFORMER SUBSTATIONS;

NEURAL NETWORKS;

EID: 77954110139     PISSN: 16743415     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (9)

1. Cao Yong-Gang, Zhou Ling, Ding Xiao-Qun, et al. Power transformer fault diagnosis using PNN[J]. Relay, 2006, 34(3): 9-11.
2. Jiang Hua-Gang, Wu Geng-Feng. RBF network prediction model based on artificial immune principal [J]. Computer Engineering, 2008, 34(2): 202-205.
3. Xie Zheng-Gui, Wei Yu-Ke, Zhong Shao-Dan. Study on modified RBF neural networks based on immune clustering[J]. Computer Engineering and Design, 2008, 29(13): 3439-3443.
4. Xiong Hao, Li Wei-Guo, Song Wei, et al. Application of density-based clustering technology in diagnosis of DGA data of transformer [J]. High Voltage Technology, 2008, 34(5): 1022-1026.
5. Zhou Ai-Hua, Zhang Bi-De, Zhang Hou-Xuan. Power transformer fault diagnosis by using the artificial immune classification algorithm [J]. High Voltage Engineering, 2007, 33(8): 77-80.
6. Liang Yong-Chun, Li Yan-Ming. Application of modified combinatorial radial basis function neural network in fault diagnosis of power transformer[J]. High Voltage Engineering, 2005, 31(9): 31-33.
7. Wang Ru, Lin Hui. A new neural network for fault diagnosis of partial discharge in power transformers [J]. High Voltage Apparatus, 2005, 41(1): 36-38.
8. Pan Chong, Chen Wei-Gen, Yun Yu-Xin, et al. Fault diagnosis of power transformers based on genetic algorithm evolving wavelet neural network [J]. Automation of Electric Power Systems, 2007, 31(13): 88-92.
9. Zang Xiao-Gang, Gong Xin-Bao, Chang Cheng, et al. An online training RBF network based on immune system[J]. Acted Electronic Arnica, 2008, 36(7): 1396-1399.