News Updates Wednesday 24th Oct 2018 :
  • Welcome to INPRESSCO, 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 Sept/Oct 2018 extended to 25 Oct 2018, Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Stator Inter-turn Fault Detection using MCSA


Author : Rakesh A. Patel and Md Aftab Alam

Pages : 1866-1870
Download PDF
Abstract

Condition monitoring of induction motor has become a necessity in today’s competitive world of industries. Stator inter-turn fault is one of the most common faults occurring in the induction motor, not predicting it before it becomes severe, may lead to breakdown and loss of production. The stator current can be continuously monitored in order to predict any fault brewing in the stator windings. This paper presents a simple way of predicting the stator inter-turn fault by analyzing the spectrum of stator current. A mathematical model of three-phase induction motor is prepared in MATLAB – Simulink software from the well-known modeling equations of induction motor. The model is then run in healthy condition and fault condition of different number of inter-turns shorted. The current signal is acquired and analyzed by performing Fast Fourier Transformation (FFT) to predict the health condition of motor.

Keywords: Condition monitoring, MCSA, FFT, Inter-turn fault

Article published in International Journal of Current Engineering and Technology, Vol.5, No.3 (June-2015)

 

Call for Papers
  1. IJCET- Sept/Oct 2018 Issue

    Submission Last Date
    25 Oct
  2. DOI is given to all articles
  3. Current Issue
  4. IJTT-Dec-2018
  5. IJAIE-Dec-2018
  6. IJCSB-Dec-2018
  • 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
©2010-2018 INPRESSCO® All Rights Reserved