Rolling bearing fault feature extraction method based on ensemble empirical mode decomposition and kurtosis criterion

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

Volumn 32, Issue 11, 2012, Pages 106-111

  Hu, Aijun ^a   Ma, Wanli ^a   Tang, Guiji ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Ensemble empirical mode decomposition; Envelope demodulation; Fault diagnosis; Kurtosis; Rolling bearing

Indexed keywords

DEMODULATION; FAILURE ANALYSIS; FEATURE EXTRACTION; HIGHER ORDER STATISTICS; OPTICAL VARIABLES MEASUREMENT;

CENTER FREQUENCY; EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; ENVELOPE DEMODULATION; INTRINSIC MODE FUNCTIONS; KURTOSIS; RESONANCE DEMODULATION; ROLLING BEARINGS; VIBRATION FAULTS; VIBRATION SIGNAL;

BEARINGS (MACHINE PARTS);

EID: 84861691430     PISSN: 02588013     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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