Fault diagnosis of bearings through vibration signal using Bayes classifiers

International Journal of Computer Aided Engineering and Technology

Volumn 6, Issue 1, 2014, Pages 14-28

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

^a NATIONAL INSTITUTE OF TECHNOLOGY KARNATAKA   (India)

^b BIRLA INSTITUTE OF TECHNOLOGY AND SCIENCE   (India)

^c PDPM INDIAN INSTITUTE OF INFORMATION TECHNOLOGY   (India)

^d VIT UNIVERSITY   (India)

Author keywords

Bayes net; Bearing fault diagnosis; Decision tree algorithm; Feature selection; Machine learning approach; Na ve Bayes

Indexed keywords

EID: 84894125224     PISSN: 17572657     EISSN: 17572665     Source Type: Journal    
DOI: 10.1504/IJCAET.2014.058002     Document Type: Article

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