Signal Analysis Of Pile Based On Wavelet Theory

With the development of pile project, dynamic pile detection is widely used.Reflected wave method has become an important means of pile detection and has made certain social and economic benefits for their advantages such as cheap and fast.But because the identification of detection wave mainly depend on the tester's experience, the traditional pile detection method often make errors.Wavelet analytical method has been developed during past several years as a new time-frequency analysis method.Wavelet analytical overcome the defect of short time fourier transform,it has characteristic of multi resolution ratio,and has be applied to the field of frequency and time analyzing extensively. This paper makes the research of reflected wave method with wavelet analytical. In the first instance, This paper makes image processing on the original image, then wavelet transform method is used to extract the characteristics which reflect the information of signals.These characteristics are fed into the neural network as the input patterns for training and classifying. Farther, it can be used to diagnose the type of signal.The fault position can be find through analyzing the position of singular point.The experiment proves that this method has strong recognition capability and have nice application prospects in the field of pile detection.