Image-based Novel Fault Detection with Deep Learning Classifiers using Hierarchical Labels

arXiv:2403.17891v1 Announce Type: new
Abstract: One important characteristic of modern fault classification systems is the ability to flag the system when faced with previously unseen fault types. This work considers the unknown fault detection capabilities of deep neural network-based fault classifiers. Specifically, we propose a methodology on how, when available, labels regarding the fault taxonomy can be used to increase unknown fault detection performance without sacrificing model performance. To achieve this, we propose to utilize soft label techniques to improve …

abstract arxiv capabilities classification classifiers cs.ai cs.lg deep learning deep neural network detection hierarchical image labels methodology modern network neural network novel systems the unknown type types work