PREDICTION OF PCCP FAILURE BASED ON HYDROPHNE DETECTING

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering, Engineering, Electrical & Electronic

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VOLUME 6 , ISSUE 4 (September 2013) > List of articles

PREDICTION OF PCCP FAILURE BASED ON HYDROPHNE DETECTING

Yuan Zhang * / Yibo Li

Keywords : Wire break signal, acoustic, PCCP, hydrophone, wavelet analysis, SVM

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 4, Pages 1,582-1,598, DOI: https://doi.org/10.21307/ijssis-2017-605

License : (CC BY-NC-ND 4.0)

Received Date : 12-May-2013 / Accepted: 03-August-2013 / Published Online: 05-September-2013

ARTICLE

ABSTRACT

Prestressed Concrete Cylinder Pipe (PCCP) is a widely used water pipe all over the world. A major cause of PCCP failure is the internal wire break, which will emit acoustic signal. In this paper, a hydrophone-based PCCP real-time monitoring and failure-prediction system was proposed. By applying wavelet energy normalization analysis to signal feature extraction and Support Vector Machine (SVM) to signal recognition, a high prediction accuracy of 98.33% was achieved. The result showed that the hydrophone-based PCCP failure prediction system is much more effective and economic in real application compared with electromagnetic method and acoustic fiber optical.

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