Mechanical fault classification of high voltage circuit breakers based on support vector machine

Diangong Jishu Xuebao/Transactions of China Electrotechnical Society

Volumn 21, Issue 8, 2006, Pages 53-58

  Sun, Laijun ^a   Hu, Xiaoguang ^b   Ji, Yanchao ^c  

^a HLJ University   (China)

^b BEIHANG UNIVERSITY   (China)

^c HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Fault diagnosis; HV circuit breaker; Neural network; Support vector machine

Indexed keywords

ARTIFICIAL NEURAL NETWORK; FAULT DIAGNOSIS; HIGH VOLTAGE (HV) CIRCUIT BREAKER; LEARNING SPEED; MECHANICAL FAULT CLASSIFICATION; STATISTICAL LEARNING THEORY; SUPPORT VECTOR MACHINE (SVM); VIBRATION SIGNALS; WAVELET PACKET;

ENTROPY; NEURAL NETWORKS; STATISTICAL METHODS; VIBRATIONS (MECHANICAL); WAVELET TRANSFORMS;

ELECTRIC CIRCUIT BREAKERS;

EID: 33749471982     PISSN: 10006753     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

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