Failure diagnosis for distributed stochastic discrete event systems
type: Item
instance of: scholarly article
title: Failure diagnosis for distributed stochastic discrete event systems
zbMATH Open document ID: 1426.93181
DOI: 10.1155/2017/7680698
author: Xuena Geng
author: Dantong Ouyang
author: Xiangfu Zhao
published in: Mathematical Problems in Engineering
publication date: 2018-11-05T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 93C65
Mathematics Subject Classification ID: 68Q45
Mathematics Subject Classification ID: 93E03
zbMATH DE Number: 6972483
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/7680698
OpenAlex ID: W2760832041
cites work: Diagnosability of discrete-event systems
cites work: A polynomial algorithm for testing diagnosability of discrete-event systems
cites work: Coordinated decentralized protocols for failure diagnosis of discrete event systems
cites work: Q3596096
cites work: Minimal communication in a distributed discrete-event system
cites work: State observation and diagnosis of discrete-event systems described by stochastic automata
cites work: Diagnosability of stochastic discrete-event systems
cites work: Decentralized Diagnosis of Stochastic Discrete Event Systems
cites work: Safe Diagnosability of Stochastic Discrete Event Systems
description: scientific article; zbMATH DE number 6972483