国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

The vibration signals of rolling bearings with non-stationary characteristics are susceptible to external noise interference, and the traditional wavelet packet denoising methods based on hard and soft threshold functions can not be adjusted according to the noise interference in the signals. Therefore, an improved wavelet packet threshold denoising method based on permutation entropy is proposed in this paper, which is combined with Complete Ensemble Empirical Mode Decomposition with Adaptive Noise(CEEMDAN) for fault signal analysis. Firstly, the fault signal of rolling bearing is processed by Improved Wavelet Packet Threshold denoising, then the noise signal is decomposed into several intrinsic mode functions (IMF) by CEEMDAN, and the IMF are selected according to the correlation coefficients in combination with envelope spectrum analysis. Finally, the analysis of the actual vibration signal of rolling bearing proves that the method is effective.