Decentralized Failure Diagnosis of Stochastic Discrete Event Systems

Details Decentralized Failure Diagnosis of Stochastic Discrete Event Systems Decentralized Failure Diagnosis of Stochastic Discrete Event Systems

2006-10-30

arxiv.org/abs/cs/0610165v1

IEEE Transactions on Automatic Control, 53 (2) (2008) 535-546.

Computer Science

Artificial Intelligence

25 pages. Comments and criticisms are welcome

Scientific paper

Recently, the diagnosability of {\it stochastic discrete event systems} (SDESs) was investigated in the literature, and, the failure diagnosis considered was {\it centralized}. In this paper, we propose an approach to {\it decentralized} failure diagnosis of SDESs, where the stochastic system uses multiple local diagnosers to detect failures and each local diagnoser possesses its own information. In a way, the centralized failure diagnosis of SDESs can be viewed as a special case of the decentralized failure diagnosis presented in this paper with only one projection. The main contributions are as follows: (1) We formalize the notion of codiagnosability for stochastic automata, which means that a failure can be detected by at least one local stochastic diagnoser within a finite delay. (2) We construct a codiagnoser from a given stochastic automaton with multiple projections, and the codiagnoser associated with the local diagnosers is used to test codiagnosability condition of SDESs. (3) We deal with a number of basic properties of the codiagnoser. In particular, a necessary and sufficient condition for the codiagnosability of SDESs is presented. (4) We give a computing method in detail to check whether codiagnosability is violated. And (5) some examples are described to illustrate the applications of the codiagnosability and its computing method.

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