A DWT and SVM based method for rolling element bearing fault diagnosis and its comparison with Artificial Neural Networks

A DWT and SVM based method for rolling element bearing fault diagnosis and its comparison with Artificial Neural Networks

A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here. The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted o...

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Bibliographic Details
Main Authors:	Sunil Tyagi, S. K. Panigrahi
Format:	Article
Language:	English
Published:	Shahid Chamran University of Ahvaz 2017-04-01
Series:	Journal of Applied and Computational Mechanics
Subjects:	Artificial Neural Network (ANN) Discreet Wavelet Transform (DWT) Fault Diagnosis Rolling Element Bearing Support Vector Machine (SVM)
Online Access:	http://jacm.scu.ac.ir/article_12739_beeff8f4820a36f3f892fa38cec5f8fa.pdf

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