887. Fault diagnosis of antifriction bearings through sound signals using Support Vector Machine

Journal of Vibroengineering

Volumn 14, Issue 4, 2012, Pages 1601-1606

  Kumar, Hemantha ^a   Ranjit Kumar, T A ^a   Amarnath, M ^b   Sugumaran, V ^c  

^a BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

^b PDPM INDIAN INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^c VIT UNIVERSITY   (India)

Author keywords

Bearing fault diagnosis; Decision tree algorithm; Feature selection; Machine learning approach; Support Vector Machine

Indexed keywords

BEARING DEFECT; BEARING FAULT DIAGNOSIS; BEARING LIFE; CLASSIFICATION ACCURACY; DECISION-TREE ALGORITHM; FAULTY CONDITION; LEARNING APPROACH; SOUND SIGNAL; STATISTICAL FEATURES;

ANTIFRICTION BEARINGS; DECISION TREES; FEATURE EXTRACTION; MACHINERY;

SUPPORT VECTOR MACHINES;

EID: 84872260771     PISSN: 13928716     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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