New method for fault feature extraction of rotating machinery based on empirical mode decomposition
The fault feature extraction of the vibration signal of the planetary gearbox is difficult because of its wide application,compact structure and bad working conditions,and its vibration signal contains strong background noise and a lot of meshing vi-bration coupling.In view of the above,based on empirical mode decomposition(EMD),multi-scale fuzzy entropy,and waveform index,a new fault feature extraction method for planetary gearbox is proposed in this paper.First,the original signal is decom-posed into a single component signal(IMF)by EMD.Then,the IMF is filtered and reconstructed.Finally,multi-scale fuzzy en-tropy and waveform index are used for parameter fusion.The experimental results show that the proposed method can effectively distinguish different fault types of planetary gearboxs.
NETL
NSTL
万方数据
维普
