Evaluating deep learning models for fault diagnosis of a rotating machinery with epistemic and aleatoric uncertainty

Reza Jalayer, Masoud Jalayer, Andrea Mor +2

Uncertainty-aware deep learning (DL) models recently gained attention in fault diagnosis as a way to promote the reliable detection of faults when out-of-distribution (OOD) data ar…