基于小波变换的地铁振动信号特征分析

On analysis of features of subway vibration signal based on wavelet transform

应用小波变换对地铁引起地面振动信号进行频谱分析,利用MATLAB编制小波分解程序,对实测加速信号进行分解与重构,获得加速度信号在时频域内的变化规律,同时讨论了振动信号峰值加速度、能量与频带的关系,与傅里叶变换相比,小波变换有更高的分辨率,更适合非平稳信号的分析。

The paper applies the wavelet transform to undertake the spectrum analysis of the ground vibration signals caused by the subway, adopts MATLAB to compile the wavelet decomposition program, decomposes and reconstructs the measured accelerated signals, achieves the change law of the acceleration signals within the time-frequency domain, discusses the relationship among the vibration signal peak acceleration, the energy and the frequency, and indicates the wavelet transform has higher resolving power and more suitable for the analysis of unstable signals, compared with the fourier transform.