Faulty bearing signal recovery from large noise using a hybrid method based on spectral kurtosis and ensemble empirical mode decomposition

Measurement: Journal of the International Measurement Confederation

Volumn 45, Issue 5, 2012, Pages 1308-1322

  Guo, Wei ^a   Tse, Peter W ^a   Djordjevich, Alexandar ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Bearing fault diagnosis; Ensemble empirical mode decomposition; Signal filtering; Spectral kurtosis

Indexed keywords

BAND PASS; BEARING FAULT; BEARING FAULT DIAGNOSIS; EMPIRICAL MODE DECOMPOSITION; ENSEMBLE EMPIRICAL MODE DECOMPOSITION; FAULTY BEARING SIGNALS; FILTER-BASED; FILTERED SIGNALS; HYBRID METHOD; HYBRID SIGNAL PROCESSING; RAW SIGNALS; SIGNAL FILTERING; SPECTRAL KURTOSIS; TIME FREQUENCY ANALYSIS; VIBRATION SIGNAL;

BANDPASS FILTERS; HIGHER ORDER STATISTICS;

SIGNAL PROCESSING;

EID: 84859163659     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2012.01.001     Document Type: Article

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