Intelligent gearbox diagnosis methods based on SVM, wavelet lifting and RBR

Sensors

Volumn 10, Issue 5, 2010, Pages 4602-4621

  Gao, Lixin ^a   Ren, Zhiqiang ^a   Tang, Wenliang ^a   Wang, Huaqing ^b   Chen, Peng ^c  

^a BEIJING UNIVERSITY OF TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

^c MIE UNIVERSITY   (Japan)

Author keywords

Gearbox; Intelligent diagnosis; Rule based reasoning (RBR); Support vector machines (SVM); Wavelet lifting

Indexed keywords

FAILURE ANALYSIS; GEARS; KNOWLEDGE BASED SYSTEMS; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES; WAVELET ANALYSIS; WAVELET DECOMPOSITION;

GEARBOX; GEARBOX VIBRATION SIGNAL; IMPULSE CHARACTERISTICS; INTELLIGENT DIAGNOSIS; RULE BASED REASONING; WAVELET LIFTING; WAVELET LIFTING SCHEME; WAVELET PACKET DECOMPOSITION;

FAULT DETECTION;

EID: 77953512587     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s100504602     Document Type: Article

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