| 基于小波包和EMD处理的滚动轴承故障诊断 |
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| 引用本文： | 吕永卫,熊诗波,林选,田慕琴.基于小波包和EMD处理的滚动轴承故障诊断[J].太原理工大学学报,2010,41(2). |
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| 作者姓名： | 吕永卫 熊诗波 林选 田慕琴 |
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| 作者单位： | 1. 太原理工大学机械电子研究所,太原,030024
2. 太原理工大学电气与动力工程学院,太原,030024 |
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| 基金项目： | 山西省科技攻关资助项目，山西省自然科学基金资助项目 |
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| 摘 要： | 为解决异步电机故障轴承振动信号易受噪音影响信噪比较小的缺点,提出了一种新的故障诊断方法。首先,采用小波分析方法对测得的原始信号进行去噪,并根据频率对原始信号进行频带划分;其次,用经验模式分解(EMD)方法对小波包分解重构得到的低频段信号进行分解,获得若干固有内在模函数(IMF);最后,采用傅里叶变换对各个IMF函数进行时频分析获得频谱图,进而提取故障频率,根据故障频率和故障类型的对应关系得出最后的诊断结果。实验表明,该方法能有效地提取出故障特征频率,方便地判断出故障类型。对比分析了傅里叶变换和小波变换与本方法的优缺点,为滚动轴承的早期故障诊断提供了一个新的思路。
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| 关 键 词： | 小波分解 经验模式分解 固有内在模函数 轴承故障诊断 |
A Way to Diagnose the Rolling Bearing Fault on the Basis of Wavelet-packet and EMD |
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| LV Yong-wei,XIONG Shi-bo,LIN Xuan,TIAN Mu-qin.A Way to Diagnose the Rolling Bearing Fault on the Basis of Wavelet-packet and EMD[J].Journal of Taiyuan University of Technology,2010,41(2). |
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| Authors: | LV Yong-wei XIONG Shi-bo LIN Xuan TIAN Mu-qin |
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| Institution: | LV Yong-weia,XIONG Shi-boa,LIN Xuanb,TIAN Mu-qinb(a.Institute of Machinery , Electronics,TUT,Taiyuan 030024,China,b.College of Electrical , Power Engineering,China) |
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| Abstract: | A new fault diagnosing method was proposed to deal with the vibration signal of fault rolling bearings in asynchronous motor that has small signal-to-noise ratio as a reault of noise influence.First,the original signals were denoised by wavelet analysis and conducted frequency division;seconally,the low-frequency signals,which were obtained by wavelet decomposition and reconstraction,were resolved by EMD to give a number of inherent IMFs;finally,time-frequency analysis was carried out on each IMF by fourier... |
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| Keywords: | Wavelet EMD IMF bearing fault diagnosis |
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