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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Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2017/7680698 |
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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 |
_version_ |
1716769802340532224 |