Research of Pipeline Leak Eigenvector Extracting Based on Wavelet Packet

Xiao Yun Liu; Xiang Fen Zhang; Yan Ma; Yan Qin Yang

doi:10.4028/www.scientific.net/AMR.986-987.1426

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 986-987Research of Pipeline Leak Eigenvector Extracting...

Research of Pipeline Leak Eigenvector Extracting Based on Wavelet Packet

Abstract:

As an important part of pipeline safety, pipeline leak detection is usually done by extracting feature vectors of leakage signal. Many researchers used wavelet packet algorithm to extract feature vector, but because of mixing effects of wavelet packet, the acquired feature vector may be not accurate. To solve this problem, the authors propose an improved wavelet packet algorithm to extract the feature vector. The improved algorithm is different from the traditional algorithm in decomposition and reconstruction and the feature vector is constituted by three time-frequency domain parameters. A lot of experiments have been performed to extract feature vector based on the proposed algorithm, with the results showing that the proposed algorithm can overcome the mixing effects and accurately extract the feature vector.

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Energy Research and Power Engineering 2014

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Periodical:

Advanced Materials Research (Volumes 986-987)

Pages:

1426-1430

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.986-987.1426

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Online since:

July 2014

Authors:

Xiao Yun Liu, Xiang Fen Zhang*, Yan Ma, Yan Qin Yang

Keywords:

Acoustic Emission (AE), Feature Vector, Pipeline Leakage, Wavelet Packet

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* - Corresponding Author

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