An optimized fault diagnosis method for reciprocating air compressors based on SVM

Proceedings - 2011 IEEE International Conference on System Engineering and Technology, ICSET 2011

Volumn , Issue , 2011, Pages 65-69

  Verma, Nishchal K ^a   Roy, Abhishek ^b   Salour, Al ^c  

^a INDIAN INSTITUTE OF TECHNOLOGY KANPUR   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY KARNATAKA   (India)

^c BOEING COMPANY   (United States)

Author keywords

fault diagnosis; fuzzy decision function; reciprocating air compressor; support vector machine

Indexed keywords

ACCURACY RATE; CLASSIFICATION METHODS; CONTINUOUS MONITORING; DATA SETS; FAULT DIAGNOSIS METHOD; FUZZY DECISION; FUZZY DECISION FUNCTION; MACHINE-LEARNING; RECIPROCATING AIR COMPRESSOR; STRUCTURAL RISK MINIMIZATION PRINCIPLE; SUPPORT VECTOR; SVM-BASED METHODS;

CLASSIFICATION (OF INFORMATION); COMPRESSORS; FAILURE ANALYSIS; OPTIMIZATION; SUPPORT VECTOR MACHINES; SYSTEMS ENGINEERING;

RECIPROCATING COMPRESSORS;

EID: 80052859540     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSEngT.2011.5993422     Document Type: Conference Paper

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