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Method of detecting pipeline leakage location based on multiresolution analysis
Author(s) -
Zhang QingChun,
Liu Bei,
Qiu Yu,
Zhang Xi
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9379
Subject(s) - leakage (economics) , computer science , wavelet , wavelet transform , pipeline (software) , cross correlation , noise (video) , acoustics , signal processing , artificial intelligence , digital signal processing , mathematics , statistics , physics , computer hardware , economics , image (mathematics) , macroeconomics , programming language
Aiming at the problem of low precision of traditional pipeline leakage detection method, a high‐precision pipeline leakage detection method based on acoustic signal is proposed, which combines multiresolution analysis of wavelet transform and cross‐correlation algorithm of signal processing. As of the large amount of background noise in the pipeline, it is necessary to filter the high‐frequency noise by wavelet transform. In order to improve the accuracy of localisation, the noise is checked at different scales and the noise is filtered at lower scales to retain more details of the acoustic signal leakage. Combined with cross‐correlation function, the location of pipeline leakage location is repeatedly positioned to improve the accuracy of positioning.

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