By Topic

Analysis and study of noise elimination through wavelet in detection of acoustic emission

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)

A software filtering method based on wavelet transformation is proposed in this paper, by means of which the detection of acoustic emission signal can be achieved under the high background noise. With this method, the multi-path interference can be eliminated and AE signal can be detected correctly. Moreover, this method can reject noise strongly, for which only a three-scale wavelet transformation of the signal received is needed, and carry out a two-scale wavelet transformation of the candidate wave detected. Also this method provides high calculation efficiency since the Mallat algorithm can be adopted.

Published in:

Machine Learning and Cybernetics, 2003 International Conference on  (Volume:1 )

Date of Conference:

2-5 Nov. 2003