2011Unpublished venueRequires access

Simulation of Gas Pipeline Leak Detection Based on Acoustic Emission and Wavelet Packet Analysis

Dong Pan, Ning Zhou, Xuanya Liu, Huijun Zhao

Open publisher page 5 citations

Abstract

In this article acoustic emission sensors were used to detect simulation of gas pipeline leak and the acoustic emission signals of a pipeline leak were obtained. Acoustic emission technology was adopted to detect pipeline leak. First wavelet packet decomposition methods were used to decompose the acoustic emission signals; then the attenuated signals were remedied effectively at different frequencies. The cross-correlation technology was used to calculate the delay-time received by the two acoustic emission sensors. This method effectively solved the difficulty that the existing acoustic emission system was difficult to detect continuous signals, such as pipeline leakage giving a larger leakage location error. The proposed method pipeline leakage location error is less than 8%.

About this research paper

What this paper is about

In this article acoustic emission sensors were used to detect simulation of gas pipeline leak and the acoustic emission signals of a pipeline leak were obtained. Acoustic emission technology was adopted to detect pipeline leak. First wavelet packet decomposition methods were used to decompose the acoustic emission signals; then the attenuated signals were remedied effectively at different frequencies. The cross-correlation technology was used to calculate the delay-time received by the two acoustic emission sensors. This method effectively solved the difficulty that the existing acoustic emission system was difficult to detect continuous signals, such as pipeline leakage giving a larger leakage location error. The proposed method pipeline leakage location error is less than 8%.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this article acoustic emission sensors were used to detect simulation of gas pipeline leak and the acoustic emission signals of a pipeline leak were obtained. Acoustic emission technology was adopted to detect pipeline leak. First wavelet packet decomposition methods were used to decompose the acoustic emission signals; then the attenuated signals were remedied effectively at different frequencies. The cross-correlation technology was used to calculate the delay-time received by the two acoustic emission sensors. This method effectively solved the difficulty that the existing acoustic emission system was difficult to detect continuous signals, such as pipeline leakage giving a larger leakage location error. The proposed method pipeline leakage location error is less than 8%.

Key concepts: Acoustic emission, Leak, Wavelet, Leakage (economics), Pipeline (software), Leak detection, Acoustics, Wavelet packet decomposition

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