| 基于EMD分解和奇异值差分谱理论的轴承故障诊断方法 |
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| 引用本文： | 张超,陈建军,徐亚兰. 基于EMD分解和奇异值差分谱理论的轴承故障诊断方法[J]. 振动工程学报, 2011, 24(5) |
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| 作者姓名： | 张超 陈建军 徐亚兰 |
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| 作者单位： | 1. 西安电子科技大学机电工程学院,陕西西安710071;内蒙古科技大学信息工程学院,内蒙古包头014010
2. 西安电子科技大学机电工程学院,陕西西安,710071 |
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| 基金项目： | 国家863高技术研究发展计划资助项目，中央高校基本科研资金资助项目 |
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| 摘 要： | 针对故障轴承振动信号中含有强烈的背景噪声,难以提取故障频率的现实情况,提出了基于经验模态分解(Empirical Mode Decomposition,EMD)和奇异值差分谱的轴承故障诊断方法.首先通过EMD方法将非平稳的原始轴承振动信号分解成若干个平稳的本征模函数(Intrinsic Mode Function,IMF)；由于背景噪声的影响,从各个IMF的频谱中难以准确地得到故障频率.对IMF分量构建Hankel矩阵并进行奇异值分解,进一步找到奇异值差分谱,根据奇异值差分谱理论对某个IMF分量进行消噪和重构,然后再求其频谱,便能准确地得到故障频率.实验结果表明,提出的方法能有效地应用于轴承的故障诊断.
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| 关 键 词： | 轴承 故障诊断 经验模态分解 Hankel矩阵 奇异值差分谱 |
A bearing fault diagnosis method based on EMD and difference spectrum theory of singular value |
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| ZHANG Chao,CHEN Jian-jun,XU Ya-lan. A bearing fault diagnosis method based on EMD and difference spectrum theory of singular value[J]. Journal of Vibration Engineering, 2011, 24(5) |
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| Authors: | ZHANG Chao CHEN Jian-jun XU Ya-lan |
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| Abstract: | In view of the strong background noise involved in the fault signals of rolling element bearings and the difficulty to obtain fault frequencies in practice,a fault diagnosis scheme,which is based on empirical mode decomposition(EMD) and difference spectrum theory of singular value,is put forward in this paper.Firstly,original acceleration vibration signals are decomposed into a finite number of stationary intrinsic mode functions(IMFs);it is difficult to obtain fault frequencies because of strong background... |
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| Keywords: | bearing fault diagnosis empirical mode decomposition Hankel matrix difference spectrum of singular value |
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