1 publication

• Published Subscription 26 Jun 2017

  Fault Identification by Wavelet Feature Extraction in Self Aligning Rolling Element Bearings Using Neural Networks

  By Kushal Goyal, Pratesh Jayaswal

  Abstract: This paper aims to present a comparison of different individual defects in self aligning ball bearings by the use of statistical tools and machine learning techniques like artificial neural network (ANN). The results generated are analyzed, and more realistic conformance to the theoretical observations has been drawn. Vibration analysis of a fault affected component gives a good understanding of machine diagnostics. Inner race and outer race defects have been studied …

  Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 11–17 Read article →