Wen-Qing Chen

Fault diagnosis of rotating machinery bearings under strong noise backgrounds using refined composite wavelet packet fuzzy diversity entropy

In recent years, multiscale fuzzy diversity entropy (MFDE) has been demonstrated as a highly promising feature extraction tool for intelligent fault diagnosis. Compared to existing entropy methods, MFDE offers the advantages of high consistency, strong robustness, and excellent computational efficiency. However, the co...