id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-30008	Shen, Yue; Yu, Yang	Bearing Acoustic Emission Signal Processing based on Improved SGMD	2025	7	.pdf	application/pdf	3631	153	38	This method significantly improves the robustness of signal decomposition and the ability to extract fault features, and provides an effective tool for the diagnosis of AE bearings under complex working conditions. In this study, an improved SGMD (ISGMD) method is proposed, which improves the adaptability of the algorithm to different signals by constructing an adaptive threshold mechanism, uses the mirror extension technology to eliminate the endpoint effect, and introduces the entropy theory for effective component screening and signal reconstruction.	cache/fcis-30008.pdf	txt/fcis-30008.txt