Failure Propagation Modeling and Analysis via System Interfaces

Safety-critical systems must be shown to be acceptably safe to deploy and use in their operational environment. One of the key concerns of developing safety-critical systems is to understand how the system behaves in the presence of failures, regardless of whether that failure is triggered by the ex...

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Main Authors: Lin Zhao, Krishnaiyan Thulasiraman, Xiaocheng Ge, Ru Niu
Format: Article
Language:English
Published: Hindawi Limited 2016-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2016/8593612
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spelling doaj-228b3db3c45d48b39a1e2e34cd0540fc2020-11-25T01:36:02ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472016-01-01201610.1155/2016/85936128593612Failure Propagation Modeling and Analysis via System InterfacesLin Zhao0Krishnaiyan Thulasiraman1Xiaocheng Ge2Ru Niu3State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaSchool of Computer Science, University of Oklahoma, Norman, OK 73019, USAInstitute of Railway Research, University of Huddersfield, Huddersfield HD1 3DH, UKState Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, ChinaSafety-critical systems must be shown to be acceptably safe to deploy and use in their operational environment. One of the key concerns of developing safety-critical systems is to understand how the system behaves in the presence of failures, regardless of whether that failure is triggered by the external environment or caused by internal errors. Safety assessment at the early stages of system development involves analysis of potential failures and their consequences. Increasingly, for complex systems, model-based safety assessment is becoming more widely used. In this paper we propose an approach for safety analysis based on system interface models. By extending interaction models on the system interface level with failure modes as well as relevant portions of the physical system to be controlled, automated support could be provided for much of the failure analysis. We focus on fault modeling and on how to compute minimal cut sets. Particularly, we explore state space reconstruction strategy and bounded searching technique to reduce the number of states that need to be analyzed, which remarkably improves the efficiency of cut sets searching algorithm.http://dx.doi.org/10.1155/2016/8593612
collection DOAJ
language English
format Article
sources DOAJ
author Lin Zhao
Krishnaiyan Thulasiraman
Xiaocheng Ge
Ru Niu
spellingShingle Lin Zhao
Krishnaiyan Thulasiraman
Xiaocheng Ge
Ru Niu
Failure Propagation Modeling and Analysis via System Interfaces
Mathematical Problems in Engineering
author_facet Lin Zhao
Krishnaiyan Thulasiraman
Xiaocheng Ge
Ru Niu
author_sort Lin Zhao
title Failure Propagation Modeling and Analysis via System Interfaces
title_short Failure Propagation Modeling and Analysis via System Interfaces
title_full Failure Propagation Modeling and Analysis via System Interfaces
title_fullStr Failure Propagation Modeling and Analysis via System Interfaces
title_full_unstemmed Failure Propagation Modeling and Analysis via System Interfaces
title_sort failure propagation modeling and analysis via system interfaces
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2016-01-01
description Safety-critical systems must be shown to be acceptably safe to deploy and use in their operational environment. One of the key concerns of developing safety-critical systems is to understand how the system behaves in the presence of failures, regardless of whether that failure is triggered by the external environment or caused by internal errors. Safety assessment at the early stages of system development involves analysis of potential failures and their consequences. Increasingly, for complex systems, model-based safety assessment is becoming more widely used. In this paper we propose an approach for safety analysis based on system interface models. By extending interaction models on the system interface level with failure modes as well as relevant portions of the physical system to be controlled, automated support could be provided for much of the failure analysis. We focus on fault modeling and on how to compute minimal cut sets. Particularly, we explore state space reconstruction strategy and bounded searching technique to reduce the number of states that need to be analyzed, which remarkably improves the efficiency of cut sets searching algorithm.
url http://dx.doi.org/10.1155/2016/8593612
work_keys_str_mv AT linzhao failurepropagationmodelingandanalysisviasysteminterfaces
AT krishnaiyanthulasiraman failurepropagationmodelingandanalysisviasysteminterfaces
AT xiaochengge failurepropagationmodelingandanalysisviasysteminterfaces
AT runiu failurepropagationmodelingandanalysisviasysteminterfaces
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