RUL prediction of milling tool under variable conditions based on multi-dimensionally screened features and physically modified attention network
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Published online on July 01, 2025
Abstract
Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Ahead of Print.
Predicting the remaining useful life (RUL) of milling tools is crucial for maximizing tool utilization and reducing machining costs. However, accurately predicting RUL faces three main issues: large data variations across variable conditions, potential ...
Predicting the remaining useful life (RUL) of milling tools is crucial for maximizing tool utilization and reducing machining costs. However, accurately predicting RUL faces three main issues: large data variations across variable conditions, potential ...