Fault Detection and Monitoring using an Information-Driven Strategy: Method, Theory, and Application

arXiv:2405.03667v1 Announce Type: cross
Abstract: The ability to detect when a system undergoes an incipient fault is of paramount importance in preventing a critical failure. In this work, we propose an information-driven fault detection method based on a novel concept drift detector. The method is tailored to identifying drifts in input-output relationships of additive noise models (i.e., model drifts) and is based on a distribution-free mutual information (MI) estimator. Our scheme does not require prior faulty examples and can be …

abstract application arxiv concept cs.it cs.lg detection drift eess.sp failure importance information math.it monitoring novel strategy theory type work