Fault detection and diagnosis using Principal Component Analysis of vibration data from a reciprocating compressor

Proceedings of the 2012 UKACC International Conference on Control, CONTROL 2012

Volumn , Issue , 2012, Pages 461-466

  Ahmed, M ^a   Baqqar, M ^a   Gu, F ^a   Ball, A D ^a  

^a UNIVERSITY OF HUDDERSFIELD   (United Kingdom)

Author keywords

contribution plots; Fault detection; Principles component analysis; Reciprocating compressor; Vibration

Indexed keywords

COMPONENT ANALYSIS; CONTRIBUTION PLOTS; DETECTION AND DIAGNOSIS; DETECTION METHODS; DIAGNOSTIC FEATURES; DRIVE BELTS; FAULT DETECTION AND DIAGNOSIS; HOTELLING'S T; INTERCOOLERS; LOG LIKELIHOOD; LOWER BOUNDS; MULTI STAGE; PCA MODEL; POTENTIAL FEATURES; Q STATISTICS; SUCTION VALVES; TIME DOMAIN; VALVE LEAKAGE; VIBRATION; VIBRATION DATA;

BELT DRIVES; COMPRESSORS; DIGITAL STORAGE; FAULT DETECTION; RECIPROCATING COMPRESSORS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84869479016     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CONTROL.2012.6334674     Document Type: Conference Paper

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