Prediction of PCCP Failure Based on Hydrophne Detecting

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 VectorMachine (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.

The Bending Mode Control Method of AFS System Based on Preview Control

“…The preview model can demonstrate the dynamic behavior of the system in the future, therefore, just like in system simulation, future control strategies can be given freely to observe output changes under different control strategies [17] .…”