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Failure Diagnosis for Distributed Stochastic Discrete Event Systems

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  • Xuena Geng
  • Dantong Ouyang
  • Xiangfu Zhao

Abstract

Because of the complexity of the failure diagnosis for large-scale discrete event systems (DESs), DESs with decentralized information have received a lot of attention. DESs with communication events are defined as distributed DESs. Stochastic discrete event systems (SDESs) are DESs with a probabilistic structure. A-diagnosability is an important property in failure diagnosis of SDES. In this paper, we investigate A-diagnosability in distributed SDESs. We define a local model and global model. Moreover, we construct a synchronized stochastic diagnoser to check A-diagnosability in distributed SDESs. We also propose a necessary and sufficient condition for a distributed SDES to be A-diagnosable. Some examples are described to illustrate our algorithms.

Suggested Citation

  • Xuena Geng & Dantong Ouyang & Xiangfu Zhao, 2017. "Failure Diagnosis for Distributed Stochastic Discrete Event Systems," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-12, October.
    • Handle: RePEc:hin:jnlmpe:7680698
    DOI: 10.1155/2017/7680698
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