基于小波变换的机械振动故障诊断系统的研究

The Study of Machinery Vibration Fault Diagnosis Detection System Based on Wavelet Transformation

小波变换具有良好的时频局部性质.论文介绍了小波变换的基本理论,阐述了小波变换用于机械振动信号的奇异性检测以发现机械故障的原理.根据对振动信号小波变换的系数模极值点来定位奇异信号,检测机械故障.给出了系统实现的硬件框图和软件流程.试验表明,系统可以发现故障机械振动信号带有的奇异性,实现旋转机械的故障诊断.

In this paper,the basic theories of wavelet are introduced.The principle of using wavelet to detect the singularity of the machinery vibration signal and diagnose machinery fault is expounded.The machinery fault and location of singular signal can be detected according to the maximum of the wavelet transformation of the vibration signal.The hardware design diagram and software flow chart are given.Experimentation results indicate that the singularity of the fault machinery vibration signal can be detected and the machinery fault can be discovered by the system.