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

Adaptive spatial filters for Diacoustic® analysis of mechanical systems

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

1 Author(s)
Wichmann, T. ; Embry-Riddle Aeronaut. Univ., Daytona Beach, FL, USA

It has been shown that in many cases wavelet analysis of the sounds of machines will reveal whether they are normal, failing or failed. The human observer can see the differences in false color images of the time-frequency pattern. The objective of this research is to design spatial filters that can be used to recognize the state of a mechanical system from its wavelet sound pattern. Such filters should be adaptive for two reasons: first, each instance of a given type of machine will have subtle sound pattern differences due to age, employment and the particular installation. Secondly, and more importantly, one would like to maximize the generality of the application such that a given instance of Diacoustic® analysis can analyze the health of the broadest possible range of similar machines. This paper addresses techniques of identifying classes of failure using two dimensional spatial filters. The filters used are characterized by two (orthogonal) measures for features in the wavelet patterns.

Published in:

Digital Avionics Systems Conference, 2002. Proceedings. The 21st  (Volume:2 )

Date of Conference:

27-31 Oct. 2002

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.