Electrical equipment fault diagnosis system based on the decomposition products of SF6

2009 IEEE International Conference on Control and Automation, ICCA 2009

Volumn , Issue , 2009, Pages 196-200

  Ning, Xin ^a   Tian, Liyan ^a   Hu, Xiaoguang ^a  

^a BEIHANG UNIVERSITY   (China)

Author keywords

Electrical equipment; Fault diagnosis; Neural network; Wavelet transform

Indexed keywords

DECOMPOSITION PRODUCTS; DETAILED DESIGN; ELECTRICAL EQUIPMENT; ELECTROMAGNETIC INTERFERENCE; EXPERIMENTAL DATA; FAULT DIAGNOSIS; FAULT PREDICTION; HARDWARE AND SOFTWARE; HARDWARE AND SOFTWARE IMPLEMENTATIONS; HARDWARE DESIGN; SF6 GAS; SINGLE-CHIP; SOFTWARE USE; SYSTEM DESIGN; SYSTEM RELIABILITY; WAVELET NEURAL NETWORKS;

DESIGN; ELECTRIC NETWORK ANALYSIS; ELECTROMAGNETIC COMPATIBILITY; ELECTROMAGNETIC PULSE; EQUIPMENT; FAILURE ANALYSIS; FAULT TOLERANT COMPUTER SYSTEMS; SOFTWARE RELIABILITY; SULFUR HEXAFLUORIDE; WAVELET TRANSFORMS;

NEURAL NETWORKS;

EID: 77950372973     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCA.2009.5410561     Document Type: Conference Paper

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