Bearing condition monitoring by pattern recognition based on bicoherence analysis of vibrations

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Volumn 210, Issue 3, 1996, Pages 277-285

  Li, C J ^a,b   Ma, J ^a,c   Hwang, B ^d  

^a ASME

^b RENSSELAER POLYTECHNIC INSTITUTE   (United States)

^c NEW YORK INSTITUTE OF TECHNOLOGY   (United States)

^d NAVAL SURFACE WARFARE CENTER   (United States)

Author keywords

Bearing; Bicoherence analysis; Condition monitoring; Diagnosis; Pattern recognition; Vibration analysis

Indexed keywords

DEFECTS; MACHINE VIBRATIONS; MONITORING; NATURAL FREQUENCIES; PATTERN RECOGNITION; STRESS ANALYSIS;

BICOHERENCE ANALYSIS; CONDITION MONITORING; LINEAR DISCRIMINANT CLASSIFIERS; LOCALIZED DEFECTS;

BEARINGS (MACHINE PARTS);

BEARINGS; CONDITION MONTIORING; VIBRATIONS;

EID: 0012609282     PISSN: 09544062     EISSN: None     Source Type: Journal    
DOI: 10.1243/PIME_PROC_1996_210_197_02     Document Type: Article

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