A feature extraction method based on information theory for fault diagnosis of reciprocating machinery

Sensors

Volumn 9, Issue 4, 2009, Pages 2415-2436

  Wang, Huaqing ^a,b   Chen, Peng ^b  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^b MIE UNIVERSITY   (Japan)

Author keywords

Envelope analysis; Fault diagnosis; Feature extraction; Information theory; Reciprocating machinery; Rolling element bearing

Indexed keywords

ANALYSIS TECHNIQUES; ENVELOPE ANALYSIS; ENVELOPE DETECTION; FEATURE EXTRACTION METHODS; ROLLING ELEMENT BEARING; SYMPTOM PARAMETERS; VERIFICATION RESULTS; VIBRATION SIGNAL;

DIESEL ENGINES; FAILURE ANALYSIS; FEATURE EXTRACTION; INFORMATION THEORY; MACHINERY; MATHEMATICAL TRANSFORMATIONS; WAVELET ANALYSIS;

TIME DOMAIN ANALYSIS;

EID: 63849187550     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s90402415     Document Type: Article

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