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Proceedings Paper

AE signal processing and DSP implementation based on wavelet packet analysis
Author(s): Jingrong Zhao; Ke Wang; Mi Yang
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Paper Abstract

To improve the accuracy of AE (Acoustic Emission) testing, the wavelet packet analysis was introduced to process the AE signals. Extraction of the fault characteristic information would be influenced greatly if the faulted AE signal was not effectively denoised. Based on discussing the fast searching algorithm of BWPB (Best Wavelet Packet Basis) adopting Shannon entropy, a new method based on BWPB was presented to denoise the AE signal from the faulted composite plate. Analyzing was performed on the denoised signal and the fault characteristic information was exacted. To improve the real-time performance of the wavelet packet analysis algorithm, it was performed on the DSP (Digital Signal Processing) chip TMS320VC5409. The experimental results show that the algorithm can not only reduce the noise by 10dB but also effectively extract the faulted characteristics information from the AE signal.

Paper Details

Date Published: 20 February 2006
PDF: 5 pages
Proc. SPIE 6041, ICMIT 2005: Information Systems and Signal Processing, 60411H (20 February 2006); doi: 10.1117/12.664336
Show Author Affiliations
Jingrong Zhao, Jilin Univ. (China)
Ke Wang, Jilin Univ. (China)
Mi Yang, Changchun Institute of Optics, Fine Mechanics and Physics (China)

Published in SPIE Proceedings Vol. 6041:
ICMIT 2005: Information Systems and Signal Processing
Yunlong Wei; Kil To Chong; Takayuki Takahashi, Editor(s)

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