Fault Detection in Resilient Time Provision.

This paper deals with the resilient time provision based on an ensemble of clocks. In particular, the emphasis is laid on the combination of clock outputs and detecting possible faults. Two classes of fault detection methods, namely model-based and AI/ML-based, are discussed and analysed. In addition, a novel fault detection technique based on the solution separation principle is proposed and tailored for the area of the time provision. Selected fault detection methods are numerically evaluated using a model of an atomic clock ensemble.