Severity invariant machine fault diagnosis

Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications, ICIEA 2011

Volumn , Issue , 2011, Pages 21-26

  Yaqub, M F ^a   Gondal, I ^a   Kamruzzaman, J ^a  

^a MONASH UNIVERSITY   (Australia)

Author keywords

adaptive feature selection; adaptive training set; machine health monitoring; severity invariant

Indexed keywords

ABNORMALITY DETECTION; ADAPTIVE FEATURE SELECTION; ADAPTIVE TRAINING; CLASSIFICATION ACCURACY; DETECTION ACCURACY; MACHINE FAULT DIAGNOSIS; MACHINE HEALTH MONITORING; NONSTATIONARY; SEVERITY INVARIANT; SIMULATION STUDIES; TEST DATA; TIME FREQUENCY ANALYSIS; TRAINING AND TESTING; VIBRATION SIGNAL;

CONDITION MONITORING; FEATURE EXTRACTION; INDUSTRIAL ELECTRONICS; SIGNAL DETECTION; VIBRATION ANALYSIS; WAVELET ANALYSIS; WAVELET TRANSFORMS;

FAULT DETECTION;

EID: 80052252564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2011.5975544     Document Type: Conference Paper

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