Out-of-distribution detection for vibration-based fault diagnosis using generalized extreme value theory
Current deep learning fault diagnosis networks for mechanical equipment may fail to reliably identify out-of-distribution (OOD) faults when samples from previously unseen fault categories are unavailable during model development, leading to the misclassification of such OOD samples as known categories. To address this...