加窗插值快速傅里叶变换在滚动轴承故障诊断中的应用

摘要/Abstract

摘要： 针对滚动轴承故障信号强噪声背景和非线性等特点，为精确识别滚动轴承的故障特征频率，在最小熵解卷积和Teager能量算子解调基础上，提出了一种基于Hanning窗插值快速傅里叶变换的滚动轴承故障诊断新方法。该方法首先利用最小熵解卷积对轴承故障信号进行降噪，再结合Teager 能量算子对降噪后的故障振动信号进行解调，经傅里叶变换后得到信号的Teager解调谱；然后采用Hanning窗对解调谱进行加权处理；最后利用信号频点附近三根离散频谱的幅值做插值处理，从而得到精确的故障特征频率。轴承实测振动信号的分析结果表明：与传统的Teager 能量算子解调方法相比，在选取较少分析点的基础上，大多数情况下所提方法仍能精确识别轴承故障特征频率。

关键词: 滚动轴承, Teager能量算子, 最小熵解卷积, 故障诊断, 插值

Abstract: According to the characteristics of rolling bearing fault signals with strong noises and nonlinearities， in order to obtain accurate characteristic defect frequencies（CDF） of rolling element bearings， a new algorithm was proposed for rolling bearing fault diagnosis by Hanning windowing interpolation fast Fourier transformation（FFT） based on MED and TEO.Firstly， the proposed algorithm used MED to denoise fault signals.Secondly，TEO was used to calculate energy of vibration signals.Then， FFT was used to get demodulation spectrum.Thirdly， the windowed demodulation spectrum was presented by Hanning window.Finally， the precise CDF was obtained by using the three spectrum line interpolations.The experimental results show that the proposed algorithm has higher accuracy to identify CDF for the most parts compared with traditional TEO demodulate method based on fewer data?points.

Key words: rolling bearing, Teager energy operator（TEO）, minimum entropy deconvolution（MED）, fault diagnosis, interpolation

中图分类号:

TH911

李心一1;谢志江1;罗久飞2. 加窗插值快速傅里叶变换在滚动轴承故障诊断中的应用[J]. 中国机械工程.

LI Xinyi1;XIE Zhijiang1;LUO Jiufei2. Applications of Windowed Interpolation FFT Algorithm in Rolling Bearing Fault Diagnosis[J]. China Mechanical Engineering.

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