The application of the fuzzy neural network-wavelet singularity detection in mechanical fault diagnosis of high voltage breakers

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn 3, Issue , 2005, Pages 2164-2167

  Sun, Laijun ^a   Hu, Xiaoguang ^b   Ji, Yanchao ^a   Lv, Chao ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b BEIHANG UNIVERSITY   (China)

Author keywords

Fault diagnosis; Fuzzy neural network; HV breaker; Neural network; Wavelet singularity

Indexed keywords

DEMODULATION; FUZZY SETS; SIGNAL PROCESSING; WAVELET TRANSFORMS;

FAULT DIAGNOSIS; FUZZY NEURAL NETWORK; HV BREAKERS; WAVELET SINGULARITY;

NEURAL NETWORKS;

EID: 33847138620     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (3)

1. S.Mallat and W.L.Hwang. "Singularity Detection and Processing with Wavelet," IEEE Trans. On Information Theory, Vol.38, No.2, Mar 1992, pp.617-643.
2. Hu Xiaoguang, Dai Jingmin, Ji Yanchao, Yu Wenbin. "The fault diagnosis of high voltage breakers based on wavelet singularity detection," Proceedings of the CSEE, 2001, 21(5),pp. 67-70.
3. Daubechies I. "The wavelet transform, time frequency localization and signal analysis," IEEE Trans on Information Theory,1990,136(5),pp. 960-1005.