Uncertainty-Aware Remaining Useful Life Prediction for Electromechanical Relays with Bayesian Lstm Networks
Predictive maintenance of electromechanical relays remains challenging: deterministic remaining-useful-life (RUL) estimates are unreliable for relays that fail spontaneously or under resistive loads, and give the operator no indication of when a prediction can be trusted. This paper addresses this gap with a Bayesian l...