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    Wavelets for the Analysis of Transient Pressure Signals for Leak Detection

    Source: Journal of Hydraulic Engineering:;2007:;Volume ( 133 ):;issue: 011
    Author:
    Marco Ferrante
    ,
    Bruno Brunone
    ,
    Silvia Meniconi
    DOI: 10.1061/(ASCE)0733-9429(2007)133:11(1274)
    Publisher: American Society of Civil Engineers
    Abstract: Transient tests can be reliably used for the diagnosis of pressurized pipe systems. As a matter of fact, the pressure signals acquired during these tests can reveal the presence of anomalies, e.g., leaks, since any irregularity in the pipe gives rise to reflected waves which in turn create discontinuities in the observed signal at the measurement section. In order to make the most of the interpretation of the pressure signals, as well as to improve the effectiveness of the location of leaks, wavelet analysis—a powerful tool within the realm of harmonic analysis—can be used. It aids in the diagnosis of pressure pipe systems by better exposing pressure signal discontinuities and precisely determining the arrival time of the pressure waves reflected by leaks, thus locating the leak itself. Since many wavelet transforms are available and the choice is driven by the specific application, both continuous and discrete wavelet transforms are considered in the paper, comparing different mother wavelets. Then the reliability of the technique with respect to the noise effects is tested on numerically simulated and experimental pressure signals. Specifically, it is shown that the wavelet analysis of numerical signals, with and without superimposed white noise, facilitates testing the ability of this tool to recognize small step variation—corresponding to small leaks—using low cost transducers.
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      Wavelets for the Analysis of Transient Pressure Signals for Leak Detection

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    http://yetl.yabesh.ir/yetl1/handle/yetl/26227
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    contributor authorMarco Ferrante
    contributor authorBruno Brunone
    contributor authorSilvia Meniconi
    date accessioned2017-05-08T20:45:41Z
    date available2017-05-08T20:45:41Z
    date copyrightNovember 2007
    date issued2007
    identifier other%28asce%290733-9429%282007%29133%3A11%281274%29.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/26227
    description abstractTransient tests can be reliably used for the diagnosis of pressurized pipe systems. As a matter of fact, the pressure signals acquired during these tests can reveal the presence of anomalies, e.g., leaks, since any irregularity in the pipe gives rise to reflected waves which in turn create discontinuities in the observed signal at the measurement section. In order to make the most of the interpretation of the pressure signals, as well as to improve the effectiveness of the location of leaks, wavelet analysis—a powerful tool within the realm of harmonic analysis—can be used. It aids in the diagnosis of pressure pipe systems by better exposing pressure signal discontinuities and precisely determining the arrival time of the pressure waves reflected by leaks, thus locating the leak itself. Since many wavelet transforms are available and the choice is driven by the specific application, both continuous and discrete wavelet transforms are considered in the paper, comparing different mother wavelets. Then the reliability of the technique with respect to the noise effects is tested on numerically simulated and experimental pressure signals. Specifically, it is shown that the wavelet analysis of numerical signals, with and without superimposed white noise, facilitates testing the ability of this tool to recognize small step variation—corresponding to small leaks—using low cost transducers.
    publisherAmerican Society of Civil Engineers
    titleWavelets for the Analysis of Transient Pressure Signals for Leak Detection
    typeJournal Paper
    journal volume133
    journal issue11
    journal titleJournal of Hydraulic Engineering
    identifier doi10.1061/(ASCE)0733-9429(2007)133:11(1274)
    treeJournal of Hydraulic Engineering:;2007:;Volume ( 133 ):;issue: 011
    contenttypeFulltext
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