Fault feature extraction and diagnosis of rolling bearings based on wavelet thresholding denoising with CEEMDAN energy entropy and PSO-LSSVM

Chen, Wuge; Li, Junning; Wang, Qian; Han, Ka

doi:10.1016/j.measurement.2020.108901

Fault feature extraction and diagnosis of rolling bearings based on wavelet thresholding denoising with CEEMDAN energy entropy and PSO-LSSVM

In order to improve identification accuracy of rolling bearings with nonlinear and nonstationary vibration signals, a novel fault diagnosis method based on wavelet thresholding denoising, complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) energy entropy, and particle swa…