Research on weak signal detection technique for electromagnetic ultrasonic inspection system

Lei Kang*, Wujun Mi, Chao Lv, Shujuan Wang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Electromagnetic acoustic transducers (EMATs) are very sensitive to surrounding noise while their transduction efficiency is rather poor. Consequently, ultrasonic signals received by EMATs are often contaminated by strong noise. To extract information of the received signals, a weak signal detection technique based on moving average, cross-correlation and self-correlation methods has been proposed. Crack signals obtained by an electromagnetic ultrasonic inspection system are processed by this cross-and-self-correlation detection technique. Feasibility and efficiency of the proposed technique are verified by experiment results with high reproducibility. By combining cross-correlation and self-correlation detection methods, this technique possesses a much stronger capability of weak signal detection than applying them individually.

Original languageEnglish
Title of host publication2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2394-2399
Number of pages6
ISBN (Print)9781424417179
DOIs
Publication statusPublished - 1 Aug 2008
Event2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008 - Singapore, Singapore
Duration: 3 Jun 20085 Jun 2008

Publication series

NameIEEE ICIEA Proceedings
PublisherIEEE
ISSN (Print)2156-2318
ISSN (Electronic)2158-2297

Conference

Conference2008 3rd IEEE Conference on Industrial Electronics and Applications, ICIEA 2008
Country/TerritorySingapore
CitySingapore
Period3/06/085/06/08

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