Real time automatic detection of bearing fault in induction machine using kurtogram analysis

Journal of the Acoustical Society of America

Volumn 132, Issue 5, 2012, Pages

  Tafinine, Farid ^a   Mokrani, Karim ^a  

^a UNIVERSITY OF BEJAIA   (Algeria)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATIC DETECTION; AUTOMATIC DETECTION METHOD; BEARING CONDITIONS; BEARING FAULT; BEARING FAULT DETECTION; CONDITION MONITOR; EXPERIMENTAL TEST; FOURTH-ORDER; INDUCTION MACHINES; KURTOGRAM; NON-STATIONARITIES; NON-STATIONARY VIBRATION SIGNALS; REAL TIME; REAL-TIME DIAGNOSIS; SELECTED FREQUENCY BAND; SIGNAL PROCESSING TECHNIQUE;

SIGNAL DETECTION; SPECTRUM ANALYSIS;

FAULT DETECTION;

ACOUSTICS; ARTICLE; AUTOMATION; EQUIPMENT; EQUIPMENT DESIGN; EQUIPMENT FAILURE; INDUSTRY; MOTION; SIGNAL PROCESSING; SOUND; SOUND DETECTION; THEORETICAL MODEL; TIME; VIBRATION;

ACOUSTICS; AUTOMATION; EQUIPMENT DESIGN; EQUIPMENT FAILURE; INDUSTRY; MODELS, THEORETICAL; MOTION; SIGNAL PROCESSING, COMPUTER-ASSISTED; SOUND; SOUND SPECTROGRAPHY; TIME FACTORS; VIBRATION;

EID: 84869101439     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.4758764     Document Type: Article

References (12)

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