Distributed Active Faults Diagnosis for Systems with Conditionally Dependent Faults

Abstract

The paper deals with active fault diagnosis of stochastic large scale systems for the cases when the fault in one subsystem may change probability of occurrence of faults in other subsystems. The multiple model framework is considered and each subsystem is represented by a set of models describing fault-free and faulty behavior. The transitions between them are characterized probabilistically. The paper proposes two active fault diagnosis algorithms, a decentralized one and a distributed one. Their performance is compared in a numerical example.