基于小波变换的信号奇异性检测在滚动轴承故障诊断中的应用研究

Singularity Detection Theory Based on Wavelet Transform and its Application in Failure Diagnosis of Rolling Bearing

在论述了基于小波变换模极大值的信号奇异性检测原理和方法的基础上,将其用于滚动轴承的故障诊断,准确定位故障信号的发生位置,并建立起表征信号奇异性的L ipsch itz指数与轴承故障严重程度之间的关系。该诊断方法有着很高的工程应用价值。

Singularity detection theory based on wavelet transform and method was introduced, and it was applied to the failure diagnosis of milling bearing. With this method, the points where the failure signals occurred are located accurately and their Lipschitz exponents are computed, the relationship between the exponents and the failure serious degree is build. The result demonstrates the high practical value of this failure diagnosis method.