A systematic fault tree analysis based on multi-level flow modeling

Akio Gofuku, Ai Ohara

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

The fault tree analysis (FTA) is widely applied for the safety evaluation of a large-scale and mission- critical system. Because the potential of the FTA, however, strongly depends on human skill of analyzers, problems are pointed out in (1) education and training, (2) unreliable quality, (3) necessity of expertise knowledge, and (4) update of FTA results after the reconstruction of a target system. To get rid of these problems, many techniques to systematize FTA activities by applying computer technologies have been proposed. However, these techniques only use structural information of a target system and do not use functional information that is one of important properties of an artifact. The principle of FTA is to trace comprehensively causeeffect relations from a top undesirable effect to anomaly causes. The tracing is similar to the causality estimation technique that the authors proposed to find plausible counter actions to prevent or to mitigate the undesirable behavior of plants based on the model by a functional modeling technique, multilevel flow modeling (MFM). The authors have extended this systematic technique to construct a fault tree (FT). This paper presents an algorithm of systematic construction of FT based on MFM models and demonstrates the applicability of the extended technique by the FT construction result of a cooling plant of nitric acid.

Original languageEnglish
Title of host publicationProgress of Nuclear Safety for Symbiosis and Sustainability: Advanced Digital Instrumentation, Control and Information Systems for Nuclear Power Plants
PublisherSpringer Japan
Pages97-103
Number of pages7
ISBN (Print)9784431546108, 9784431546092
DOIs
Publication statusPublished - Jan 1 2014

Keywords

  • Fault tree analysis
  • Functional information
  • Multilevel flow modeling

ASJC Scopus subject areas

  • Engineering(all)

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