A recognition and novelty detection approach based on Curvelet transform, nonlinear PCA and SVM with application to indicator diagram diagnosis

Expert Systems with Applications

Volumn 38, Issue 10, 2011, Pages 12721-12729

  Feng, Kun ^a   Jiang, Zhinong ^a   He, Wei ^a   Ma, Bo ^a  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

2D Curvelet transform; Indicator diagram recognition; Nonlinear PCA; Novelty detection; Reciprocating compressor; SVM

Indexed keywords

CURVELET TRANSFORMS; INDICATOR DIAGRAM RECOGNITION; NONLINEAR PCA; NOVELTY DETECTION; SVM;

COMPRESSORS; FEATURE EXTRACTION; MATHEMATICAL TRANSFORMATIONS; PRINCIPAL COMPONENT ANALYSIS; RECIPROCATING COMPRESSORS; SUPPORT VECTOR MACHINES;

FAULT DETECTION;

EID: 79957982384     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.04.060     Document Type: Article

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