Cart (Loading....) | Create Account
Close category search window

Digital Signal Processing for Induction Machines Diagnosis - A Review

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kia, S.H. ; Univ. of Picardie "Jules Verne", Amiens ; Henao, H. ; Capolino, G.-A.

The aim of this paper is to present a wide view of the digital signal processing technique (DSPT) which can help to improve induction machine fault diagnosis. The classical as well as the modern signal processing methods are presented with attention to the performances in frequency, time and time- frequency domain analysis. These methods are applied to different signals coming from the three-phase induction machine sensors under different operating conditions. It is shown that the best diagnostic performances can be obtained when the DSPTs are well adapted to the observed phenomena.assuming that the signal is a set of harmonically related sinusoids.

Published in:

Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE

Date of Conference:

5-8 Nov. 2007

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.