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Automated safety analysis by minimal path set detection for multi-domain object-oriented models

Schallert, Christian (2017) Automated safety analysis by minimal path set detection for multi-domain object-oriented models. Mathematical and Computer Modelling of Dynamical Systems, 23, pp. 341-360. Taylor & Francis. DOI: 10.1080/13873954.2017.1298624 ISSN 1387-3954

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Official URL: http://www.tandfonline.com/doi/full/10.1080/13873954.2017.1298624

Abstract

A method called DMP for Detection of the Minimal Path set of any fault-tolerant technical system, the system being represented as a multi-domain object-oriented model, is described, exemplified and substantiated in this article. Thus, by use of DMP, a safety analysis of the system is automatically performed. DMP employs simulation of normal behaviour, degradation and failure of a system. In essence, it is a state space simulation. The state space, in this context, denotes the set of combinations of intact and failed components of a system to be examined for detection of its minimal path set. Without any reduction technique, the size of a system’s state space grows exponentially with the number of its components. In order to render the DMP method feasible, the object structure of the system model is represented as a graph. Evaluation of the graph reduces the size of the state space and hence the number of simulations required.

Item URL in elib:https://elib.dlr.de/116368/
Document Type:Article
Title:Automated safety analysis by minimal path set detection for multi-domain object-oriented models
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Schallert, Christianchristian.schallert (at) dlr.deUNSPECIFIED
Date:March 2017
Journal or Publication Title:Mathematical and Computer Modelling of Dynamical Systems
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:23
DOI :10.1080/13873954.2017.1298624
Page Range:pp. 341-360
Publisher:Taylor & Francis
Series Name:Methods, Tools and Applications in Engineering and Related Sciences
ISSN:1387-3954
Status:Published
Keywords:Modelling and simulation of failures, state space simulation, graph algorithms, minimal path set, safety analysis, failure probability
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:fixed-wing aircraft
DLR - Research area:Aeronautics
DLR - Program:L AR - Aircraft Research
DLR - Research theme (Project):L - Systems and Cabin, L - Human factors and safety in Aeronautics
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of System Dynamics and Control > Aircraft System Dynamics
Deposited By: Schallert, Christian
Deposited On:05 Dec 2017 13:57
Last Modified:23 Feb 2019 00:22

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