News Updates Monday 24th Jul 2017 :
  • Welcome to International Press Corporation, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission last date of July/Aug 2017 extended to 25 July 2017, Submit online or at
  • Our journals are indexed in University of Regensburg Germany, Google Scholar, Cross Reference data bases
  • Applications for reviewers are invited and can be sent directly to concerned editor's mail

Induction Motor Bearing Fault Detection under Transient Conditions

Author : Mustafa M. Ibrahim, Habeeb J. Nekad

Pages : 1287-1292
Download PDF

This paper introduces a method for diagnosis of bearing fault of induction motor under transient conditions. The q-axis component of the stator current signal is decomposed by using the discrete wavelet transform (DWT). The fault detection method is developed by using the artificial neural network (ANN) to identify the motor state. A dynamic model of the squirrel-cage induction motor taking account the bearing faults is developed using simulink/matlab. Simulation results show that the better performance of the proposed method.

Keywords: Induction motor, bearing fault, MCSA, DWT, ANN

Article published in International Journal of Current  Engineering  and Technology, Vol.3,No.4(Oct- 2013)




Call for Papers
  1. IJCET- July/Aug-2017 Issue

    Submission Last Date
    25 July 2017
  2. IJTT-Sept-2017
  3. IJAIE-Sept-2017
  4. IJCSB-Sept-2017
Facts and figures
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2017 INPRESSCO® All Rights Reserved