基于小波奇异性的滚动轴承故障检测方法研究

在滚轴故障诊断中,故障通常表现为振动信号的突变,因此检测信号奇异点意义重大。文章介绍了小波变换理论和小波变换奇异性检测原理,研究了奇异性检测方法在滚动轴承故障诊断问题中的应用。采用小波门限消噪法处理繁杂的滚轴振动信号,对消噪后的振动信号采用小波变换模极大值奇异性检测方法进行多尺度小波分析,得到故障点的位置。仿真结果表明,该方法下振动信号奇异程度以及奇异点的位置明显。

Method of Rolling Bearing Fault Diagnosis Based on Wavelet Singularity

In the research of fault diagnosis of rolling bearing,the fault is usually accompanied with signal discontinuity.So it is greatly important to detect the singularity of signal.This paper introduces the theory of wavelet transform and wavelet transform singularity detection theory,and studies the method of singularity detection in the application of rolling bearing fault diagnosis.Threshold de-noising method based on wavelet transform is applied to deal with vibration signal of rolling bearing.And then the method of the singularity detection of modulus maximum is used to make the multi-scale analysis of the de-noised signal.At last the location of the fault is acquired.The experimental results show singular degree of vibration signals and location of singular points are obvious.