Failure Diagnosis for Distributed Stochastic Discrete Event Systems

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 probabilis...

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Main Authors: Xuena Geng, Dantong Ouyang, Xiangfu Zhao
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2017/7680698
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spelling doaj-c9a0777bbd994c589bf448482d4f334f2020-11-24T21:04:47ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472017-01-01201710.1155/2017/76806987680698Failure Diagnosis for Distributed Stochastic Discrete Event SystemsXuena Geng0Dantong Ouyang1Xiangfu Zhao2Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, ChinaKey Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun 130012, ChinaCollege of Mathematics, Physics, and Information Engineering, Zhejiang Normal University, Jinhua 321004, ChinaBecause 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.http://dx.doi.org/10.1155/2017/7680698
collection DOAJ
language English
format Article
sources DOAJ
author Xuena Geng
Dantong Ouyang
Xiangfu Zhao
spellingShingle Xuena Geng
Dantong Ouyang
Xiangfu Zhao
Failure Diagnosis for Distributed Stochastic Discrete Event Systems
Mathematical Problems in Engineering
author_facet Xuena Geng
Dantong Ouyang
Xiangfu Zhao
author_sort Xuena Geng
title Failure Diagnosis for Distributed Stochastic Discrete Event Systems
title_short Failure Diagnosis for Distributed Stochastic Discrete Event Systems
title_full Failure Diagnosis for Distributed Stochastic Discrete Event Systems
title_fullStr Failure Diagnosis for Distributed Stochastic Discrete Event Systems
title_full_unstemmed Failure Diagnosis for Distributed Stochastic Discrete Event Systems
title_sort failure diagnosis for distributed stochastic discrete event systems
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2017-01-01
description 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.
url http://dx.doi.org/10.1155/2017/7680698
work_keys_str_mv AT xuenageng failurediagnosisfordistributedstochasticdiscreteeventsystems
AT dantongouyang failurediagnosisfordistributedstochasticdiscreteeventsystems
AT xiangfuzhao failurediagnosisfordistributedstochasticdiscreteeventsystems
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