Technical Papers
Apr 13, 2020

Continuous Leak Detection and Location through the Optimal Mother Wavelet Transform to AE Signal

Publication: Journal of Pipeline Systems Engineering and Practice
Volume 11, Issue 3

Abstract

This study is interested in executing an optimal wavelet transform (WT) to interpret the continuous leak acoustic emission signal precisely. Thus, this paper proposes detailed guidelines on how to select an optimal mother wavelet. The recurring dominant signal patterns were first isolated from the raw leak AE signal. Having their correlation similarity with available standard mother wavelets led to the optimal choice of mother wavelet. The WT spectrogram with mother wavelet cmor1-1.5 presents an excellent leak frequency band and peak leak frequency in comparison with other mother wavelets. Cross-correlation tests were further carried out to evaluate the ability of cmor1-1.5 for locating the leak source with WT coefficients on the leak characteristic frequency. Furthermore, through directly transferring the raw leak AE signals into the cross-correlation function to recalculate their time difference of arrival (TDOA), the location results of the leak source have a huge deviation or are fundamentally impossible. Thus, comparison incredibly indicates the significance of the choice of suitable mother wavelet, which also further highlights that having an optimal choice of the mother wavelet in the proposed method led to the accurate location for the leak source.

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Data Availability Statement

Raw leak AE signals, codes of correlation-based location algorithm, the computer programs of STFT and WT spectrogram, and the WT coefficient during the study are available from the corresponding author by request.

Acknowledgments

This research received financial support from National Natural Science Foundation of China (NSFC) under Grant Nos. 51565047 and 51635010; Inner Mongolia University of Science and Technology Innovation Fund under Grant No. 2017YQL04; and Natural Science Foundation of Inner Mongolia under Grant No. 2017MS (LH) 0531.

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Information & Authors

Information

Published In

Go to Journal of Pipeline Systems Engineering and Practice
Journal of Pipeline Systems Engineering and Practice
Volume 11Issue 3August 2020

History

Received: Jun 24, 2019
Accepted: Jan 24, 2020
Published online: Apr 13, 2020
Published in print: Aug 1, 2020
Discussion open until: Sep 13, 2020

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Authors

Affiliations

Shaofeng Wang [email protected]
Associate Professor, School of Mechanical Engineering, Inner Mongolia Univ. of Science and Technology, No. 7 Arden Ave., Baotou, Inner Mongolia 014010, China. Email: [email protected]
Zhihao Chen [email protected]
School of Mechanical Engineering, Inner Mongolia Univ. of Science and Technology, No. 7 Arden Ave., Baotou, Inner Mongolia 014010, China. Email: [email protected]
Jianguo Wang [email protected]
Professor, School of Mechanical Engineering, Inner Mongolia Univ. of Science and Technology, No. 7 Arden Ave., Baotou, Inner Mongolia 014010, China (corresponding author). Email: [email protected]
Hailing Wang [email protected]
Director, Inner Mongolia North Heavy Industries Group Company Limited, Changqian Rd., Baotou, Inner Mongolia 014033, China. Email: [email protected]
Chunsheng Ji [email protected]
Director, Baotou Special Equipment Inspection Institution, No. 4 Xingfu Rd., Baotou, Inner Mongolia 014030, China. Email: [email protected]
Professor, State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong Univ., No. 28 Xianning West Rd., Xi’an, Shaanxi 710049, China. Email: [email protected]
Associate Professor, School of Mechanical Engineering, Inner Mongolia Univ. of Science and Technology, No. 7 Arden Ave., Baotou, Inner Mongolia 014010, China. Email: [email protected]

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