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Roller bearing fault diagnosis method based on LMD and neural network
Author(s): 
Pages: 141-144
Year: Issue:  8
Journal: Journal of Vibration and Shock

Abstract: 针对滚动轴承的故障振动信号的非平稳特性,提出了一种基于局部均值分解(Local mean decomposition,简称LMD)和神经网络的滚动轴承诊断方法.该方法首先对信号进行局部均值分解,将其分解为若干个PF分量(Product function,简称PF)之和,再选取包含主要故障信息的PF分量进行进一步分析,从这些分量中提取时域统计量和能量等特征参数作为神经网络的输入参数来识别滚动轴承的故...
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