Integrated matrix-based fault tree generation and evaluation

Michael Roth, Moritz Wolf, Udo Lindemann

Research output: Contribution to journalConference articlepeer-review

20 Scopus citations

Abstract

Increasing complexity of products and safety regulations combined with an increasing amount of variants complicates the process of safety analysis within systems engineering. Moreover, it is known that the early avoidance or prevention of failures saves costs and improves the quality. As methods of safety analysis, i.e. fault tree analyses require immense manual efforts and expert knowledge, the efficiency of these analyses has to be improved. Our paper thus presents an approach to generate and evaluate fault trees by the usage of matrix-based models. It is an approach tailored to the early phases of system design and provides a preliminary fault tree analysis. It automatically generates fault trees and evaluates them. Thus, it facilitates the efficient identification of safety critical elements and the assessment and comparison of alternative system architecture concepts. This paper provides a brief introduction to fault tree analysis and presents existing approaches to automate the generation or synthesis of fault trees. The limitations of these approaches during early stages of design are discussed and the need for a tailored approach is derived. The developed approach consists of four phases and six steps which each are explained in detail. The whole approach is validated within a small industrial case study and its benefits and limitations are discussed. The case study shows, that the approach successfully improves the efficiency of a preliminary fault tree analysis.

Original languageEnglish
Pages (from-to)599-608
Number of pages10
JournalProcedia Computer Science
Volume44
Issue numberC
DOIs
StatePublished - 2015
EventIUTAM Symposium on the Dynamics of Extreme Events Influenced by Climate Change (2013) - Freiburg, Germany
Duration: 6 Sep 20159 Sep 2015

Keywords

  • Design Structure Matrix
  • Fault Tree Analysis
  • Functional Modeling
  • Safety

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