Dual-branch remaining useful life prediction based on local pattern learning and functional trajectory reconstruction
Remaining useful life (RUL) prediction is a core task in prognostics and health management because it supports maintenance scheduling and downtime reduction. Deep learning methods have improved temporal representation for RUL prediction, but degradation information extracted from fixed-length recent monitoring windows...