Resource-constrained continual adaptation for online aero-engine remaining useful life prediction under non-stationary operating conditions
Online remaining useful life prediction for aero-engines is challenged by evolving operating conditions and degradation patterns, which may cause static offline models to lose reliability after deployment. Full retraining and unrestricted historical replay are also impractical for resource-constrained prognostic system...