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基于EMD与ICA的滚动轴承复合故障诊断

Keywords: 经验模式分解,独立分量分析,峭度指标,滚动轴承复合故障诊断

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Abstract:

针对单通道情况下滚动轴承复合故障难以分离问题,提出基于经验模式分解(empiricalmodedecomposition,EMD)的独立分量分析(independentcomponentanalysis,ICA)算法.该方法首先对单通道采集的轴承复合故障信号进行EMD分解,得到多个基本模式分量函数(intrinsicmodefunction,IMF),然后依据帩度指标及相关系数值,选取有效的IMF分量与原观测信号组成新的观测信号,对其进行ICA处理,进而实现轴承复合故障的分离.实验结果表明,该方法可有效地分离轴承早期的复合故障.

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