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

Monitoring and diagnosis of rolling element bearings using artificial neural networks

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)
Alguindigue, I.E. ; Dept. of Nucl. Eng., Tennessee Univ., Knoxville, TN, USA ; Loskiewicz-Buczak, A. ; Uhrig, R.E.

Vibration monitoring of components in manufacturing plants involves the collection of vibration data from plant components and detailed analysis to detect features that reflect the operational state of the machinery. The analysis leads to the identification of potential failures and their causes and makes it possible to perform efficient preventive maintenance. Work on the design of a vibration monitoring methodology for rolling element bearings (REB) based on neural network technology is presented. This technology provides an attractive complement to traditional vibration analysis because of the potential of neural networks to operate in real-time mode and to handle data that may be distorted or noisy. The significance of this work relies on the fact that REB failures are responsible for a large fraction of the malfunctions in manufacturing equipment. The technique enhances traditional vibration analysis and provides a means of automating the monitoring and diagnosis of vibrating equipment

Published in:

Industrial Electronics, IEEE Transactions on  (Volume:40 ,  Issue: 2 )

Date of Publication:

Apr 1993

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.