Fault Diagnosis Of Signal Analysis And Applied Research

This dissertation studies the methods of signal analysis on identification of damage location. It can be divided into three parts: 1. Traditional method. In this part, the method of the Fourier analysis and pattern recognition is mainly discussed. And some parameters of common identification are offered. 2. Wigner distribution. In this part, the emphasis is placed on studying the characters and the fundamental thought methodology of Wigner distribution, and the correspond result of time-frequency distribution is discussed with feasibility of using acoustic signal to detect traffic flow on the basis of nonlinear and intersecting term interference of Wigner distribution, and the estimate of foundation concrete piles is obtained by analyzing Wigner distribution. 3. Wavelets analysis. In this part, the emphasis is placed on studying the character and feature of wavelet theory. And the fast algorithms of orthogonal wavelet transformation (parallel algorithm, series algorithm) are introduced. And also we introduce that using the excellent time? frequency distribution feature of wavelet transformation, we can correctly identify the crash foundation, crash extension and destruction of concrete bridge of T-shape. From above, we have proved that wavelet transformation have the ability of detecting the trivial crash.