Multiple bandwidth wavelet analysis for fault diagnosis eigenvalue in squirrel-cage induction motor

Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering

Volumn 23, Issue 7, 2003, Pages 112-116

  Cao, Zhi Tong ^a   He, Guo Guang ^a   Chen, Hong Ping ^a   Ritchie, E ^b  

^a ZHEJIANG UNIVERSITY   (China)

^b AALBORG UNIVERSITY   (Denmark)

Author keywords

Energy eigenvalue; Fault diagnosis; Induction motor; Multiple bandwidth wavelet analysis

Indexed keywords

ELECTRIC FAULT CURRENTS; FAILURE ANALYSIS; FOURIER TRANSFORMS; WAVELET TRANSFORMS;

ENERGY EIGENVALUE; FAULT DIAGNOSIS; MULTIPLE BANDWIDTH WAVELET ANALYSIS;

SQUIRREL CAGE MOTORS;

EID: 0142230026     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (6)

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2. Cao Z, Ritchie E. Rotor fault diagnosis of induction motor based on a dynamic associative memory of chaotic neural network [C]. Proceedings of the ICEM'2000, Helsinki, Finland, 2000.
3. Cao Z T, Chen H P, He G G, et al. Rotor fault diagnosis of induction motor based on the wavelet reconstruction [C]. Proceedings of the ICEM'2001 Shenyang, China, 2001
4. Ren Zhen, Zhang Zhengping, Huang Wenying, et al. Denoising and detection of faulted motor signal based on best wavelet packet basis [J]. Proceedings of the CSEE, 2002, 22(8): 53-57.
5. Ren Zhen, He Jianjun, Huang Wenying, et al. Compression and reconstruction for faults signals of electric machines based on wavelet packets [J]. Proceedings of the CSEE, 2001, 21(1): 25-29.