| 基于最优Morlet小波的滚动轴承故障诊断 |
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| 引用本文： | 张丹,隋文涛,张宇.基于最优Morlet小波的滚动轴承故障诊断[J].轴承,2009(10). |
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| 作者姓名： | 张丹 隋文涛 张宇 |
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| 作者单位： | 1. 山东理工大学,电气与电子工程学院,山东,淄博,255049
2. 山东理工大学,机械工程学院,山东,淄博,255049 |
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| 基金项目： | 山东省自然科学基金资助项目 |
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| 摘 要： | 将最优Morlet小波和阈值降噪法相结合,进行强噪声背景下滚动轴承故障诊断.依据峭度最大准则确定最优Morlet小波基.利用连续小波变换和软阈值法对振动信号降噪.试验表明,该方法具有良好的去噪性能,并能更好地提取滚动轴承振动信号中的故障特征.
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| 关 键 词： | 滚动轴承 故障诊断 Morlet小波 降噪 |
Bearing Fault Diagnosis Based on Optimal Morlet Wavelet |
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| ZHANG Dan,SUI Wen-tao,ZHANG Yu.Bearing Fault Diagnosis Based on Optimal Morlet Wavelet[J].Bearing,2009(10). |
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| Authors: | ZHANG Dan SUI Wen-tao ZHANG Yu |
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| Affiliation: | ZHANG Dana,SUI Wen-taob,ZHANG Yub(a.School of Electrical & Electronic Engineering,Sh,ong University of Technology,Zibo 255049,China,b.School of Mechanical Engineering,China) |
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| Abstract: | A fault diagnosis method based on Morlet wavelet and thresholding denoising is proposed to diagnose rolling bearing fault in high noise condition.The optimal Morlet wavelet base function is determined according to kurtosis maximization criteria.The continuous wavelet transformation and soft threshold methods are used to denoise vibration signals.Experiments show that the proposed method is valid for de-noising,and it can effectively extract fault feature from vibration signals. |
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| Keywords: | rolling bearing fault diagnosis Morlet wavelet noise reduction |
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