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  • 标题:PREDICTION OF PCCP FAILURE BASED ON HYDROPHNE DETECTING
  • 本地全文:下载
  • 作者:Yuan Zhang ; Yibo Li
  • 期刊名称:International Journal on Smart Sensing and Intelligent Systems
  • 印刷版ISSN:1178-5608
  • 出版年度:2013
  • 卷号:6
  • 期号:4
  • 页码:1582-1598
  • 出版社:Massey University
  • 摘要: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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