Fault diagnosis of roller bearing using fuzzy classifier and histogram features with focus on automatic rule learning

Expert Systems with Applications

Volumn 38, Issue 5, 2011, Pages 4901-4907

  Sugumaran, V ^a   Ramachandran, K I ^b  

^a SRM Nagar ^*  (India)

^b AMRITA SCHOOL OF ENGINEERING   (India)

Author keywords

Decision tree; Feature selection; Fuzzy; Histogram features; Roller bearing; Rule learning

Indexed keywords

DOMAIN KNOWLEDGE; FAULT CONDITIONS; FAULT DIAGNOSIS; FEATURE CLASSIFICATION; FEATURE SELECTION; FEATURE SETS; FUZZY; FUZZY CLASSIFIERS; HISTOGRAM FEATURES; OUTER RACES; PATTERN RECOGNITION PROBLEMS; ROTARY MACHINE; RULE LEARNING; RULE SET; VIBRATION SIGNAL;

BEARINGS (STRUCTURAL); CLASSIFIERS; CONDITION MONITORING; DECISION TREES; EXTRACTION; FUZZY SYSTEMS; GRAPHIC METHODS; ROLLER BEARINGS; ROLLERS (MACHINE COMPONENTS); TRANSDUCERS;

FEATURE EXTRACTION;

EID: 79151474910     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.09.089     Document Type: Article

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