Empirical Mode Decomposition and Order Tracking Analysis of Fault Diagnosis of Robot with Precision Reducer
Because the fault features of a planetary cycloid pinwheel reducer are difficult to extract in the swing fatigue experiment,this paper proposes a method that combines empirical mode decomposition and order tracking analysis to conduct the fault diagnosis of the reducer.Through performing equiangular domain resampling,empirical mode decomposition,calculating the kurtosis value of the intrinsic mode function,selecting the intrinsic mode component for reconstruction and the fast Fourier transform of collected time domain signals,the order map is verified.The results show that the method can accurately extract the inherent modal components that contain the information on faults and identify the fault features of the planetary cycloid pinwheel reducer in the non-stationary state.
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