Research on fault diagnosis for reciprocating compressor valve using information entropy and SVM method

Journal of Loss Prevention in the Process Industries

Volumn 22, Issue 6, 2009, Pages 864-867

  Cui, Houxi ^a   Zhang, Laibin ^b   Kang, Rongyu ^a   Lan, Xinyang ^a  

^a China National Petroleum Offshore Engineering Co Ltd   (China)

^b CHINA UNIVERSITY OF PETROLEUM   (China)

Author keywords

Fault diagnosis; Information entropy; Reciprocating compressor valve; SVM

Indexed keywords

FAULT CLASSIFICATION; FAULT DIAGNOSIS; INFORMATION ENTROPY; NON-LINEARITY; NONLINEAR PATTERN; RECIPROCATING COMPRESSOR; RECOGNITION PERFORMANCE; SMALL SAMPLES; SVM MODEL;

COMPRESSORS; ENTROPY; FAILURE ANALYSIS; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES;

INFORMATION USE;

EID: 71649087757     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2009.08.012     Document Type: Article

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