The conventional leak location is based on the correlation of leak acoustic signals acquired spatially separately. By correlation, the time lag is estimated for localizing the leakage. In these methods, the detection distance is a prerequisite that has to be known beforehand. However, in practice, this prerequisite is not always satisfied. In this case, the correlation-based methods are not feasible. Actually, the acquired signals contain the characteristics related to the acoustic propagation channels; thus the blind system identification strategy is applied to estimate the transmission performances of acoustic channels. Then the times due to the propagation of the leak source signal travelling from the leak point to sensors are determined. In this way, for leak location, the detection distance is no longer a prerequisite. In blind system identification, due to the long impulse responses of the leak acoustic channels, the channels are inevitably ill conditioned and sensitive to the initial values. To overcome the ill conditions, the overlap-save and cross-correlation fitting techniques are utilized to identify the long impulse sequences under a built constraint. In order to avoid converging to the local minima, the genetic algorithm is used to minimize the cost functions. The practical detection results show the validity of the proposed scheme.


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    Title :

    The genetic-algorithm-enhanced blind system identification for water distribution pipeline leak detection


    Additional title:

    Genetisch-algorithmische Systemidentifikation zur Leckortung an Fernwasserleitungen


    Contributors:
    Yang, Jin (author) / Wen, Yumei (author) / Li, Ping (author)

    Published in:

    Publication date :

    2007


    Size :

    7 Seiten, 7 Bilder, 2 Tabellen, 23 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English





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