基于小波变换的滚动轴承故障诊断系统

作者：叶高翔，王 焱，朱善安 日期：2007-08-31/span> 浏览：4029 查看PDF文档

                                                            基于小波变换的滚动轴承故障诊断系统
                                                               叶高翔，王 焱，朱善安
                                                      （浙江大学 电气工程学院，浙江 杭州 310027）

摘 要：在分析了滚动轴承振动与故障之间联系的基础上，提出了通过共振解调法和小波多尺度分析对轴承进行故障诊断的方法。采用小波变换能有效地对滚动轴承振动信号进行带通滤波，分离出高频固有信号，对其进行包络分析，以获得故障特征频率，诊断故障发生的部位。仿真实验证明，该方法具有令人满意的效果。
关键词：非平稳信号；滚动轴承；故障诊断；小波分析

                                 Fault diagnosis system of rolling bearing based on wavelet transform
                                            YE Gaoxiang, WANG Yan, ZHU Shanan
                 (College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China)

Abstract: By analyzing the relationship between the fault and the vibration of the rolling bearing, the rolling bearing fault diagnosis method through the resonance demodulation and wavelet analysis were presented. The bandpass filter was implemented in processing the vibration signal of rolling bearing by using wavelet transform to get the highfrequency inherent vibration signal. Then an envelope analysis was used to extract and diagnose the fault feature of the highfrequency inherent vibration signal.
Key words: nonstationary signal; rolling bearing; fault diagnosis; wavelet analysis

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