Remaining useful life estimation of bearings using trend–detail decomposition and extended 1D-LBP features with a hybrid deep learning model
Year: 2026
Type: article
Source: Engineering Computations
Authors: Yılmaz Kaya, Eyyüp Akcan, Fevzi Çakmak
Institutions: Batman University, Siirt Üniversitesi, Mardin Artuklu University
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7225634721