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基于时延自相关与变模态分解的故障诊断方法

Xing-hui LI,Yong-jun SHEN,You-de WU

Journal of Lanzhou University of Technology（2017）

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Abstract
在故障诊断领域,时延自相关已是一种重要的信号处理工具,而变模态分解则是新兴起的信号处理方法.文中利用时延自相关函数对信号进行降噪处理,再对提取的时延自相相关函数进行变模态 分解,选择有效本征模态函数提取出故障频率.模拟仿真与故障实验结果表明:该方法更能有效地抑制噪声,凸显故障特征信息,在旋转机械故障诊断领域具有广泛的应用前景.
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Key words
delayed autocorrelation,variational modality decomposition,fault diagnosis
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