Wavelets application in acoustic emission signal detection of wire related events in pipeline

Authors

  • Ran Wu Dept. of Elec. and Comp. Eng., Ryerson University, Toronto, ON, Canada
  • Zaiyi Liao Dept. of Architecture, Ryerson University, Toronto, ON, Canada
  • Lian Zhao Dept. of Elec. and Comp. Eng., Ryerson University, Toronto, ON, Canada
  • Xiangjie Kong Pressure Pipe Inspection Company Ltd., Mississauga, ON, Canada

Keywords:

Acoustic emission testing, Acoustic emissions, Acoustic fields, Acoustic signal processing, Acoustics, Applications, Embedded systems, Extraction, Feature extraction, Fourier transforms, Industrial applications, Integrated circuits, Mathematical transformations, Nondestructive examination, Photoacoustic effect, Pipelines, Signal detection, Signal processing, Testing, Acoustic emission (AE), Acoustic emission (AE) signals, Acoustic signals, Applied (CO), Common problems, Engineering fields, Frequency-domain (FD), Global informations, Local information, Non-destructive test (NDT), Physical features, Pipeline inspection, processing methods, Short-time Fourier transform (STFT), time scaling, Time-frequency distribution (TFD)

Abstract

As a popular nondestructive test, acoustic emission (AE) testing has been widely used in many physical and engineering fields such as leak detection and pipeline inspection. Among those applied AE tests, a common problem is to extract the physical features of the ideal events, so as to detect similar signals. In acoustic signal processing, those features can be represented as joint time-frequency distribution. However, classical signal processing methods only give global information on either time or frequency domain, while local information is lost. Although the short-time Fourier transform (STFT) is developed to analyze time and frequency details simultaneously, it can only achieve limited precision. Wavelet transform is a time-scale-frequency technique with adaptable precision, which makes better feature extraction and detail detection. This paper is an. application of wavelet transform in acoustic emission signal detection where strong noise exists. Developed for industrial applications, the techniques presented are both accurate and computationally implementai for embedded systems. In addition, STFT is compared with wavelet transform to show the advantages of wavelet transforms in this particular application.

Additional Files

Published

2008-06-01

How to Cite

1.
Wu R, Liao Z, Zhao L, Kong X. Wavelets application in acoustic emission signal detection of wire related events in pipeline. Canadian Acoustics [Internet]. 2008 Jun. 1 [cited 2026 May 9];36(2):31-4. Available from: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/2012

Issue

Vol. 36 No. 2 (2008)

Section

Technical Articles

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