Automatic Fault Tree Generation From Multidisciplinary Dependency Models for Early Failure Propagation Assessment
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Authors
Papakonstantinou, Nikolaos
Linnosmaa, Joonas
Alanen, Jarmo
O'Halloran, Bryan
Subjects
Advisors
Date of Issue
2018-08
Date
Publisher
ASME
Language
Abstract
Safety engineering for complex systems is a very
challenging task and the industry has a firm basis and trust on a
set of established methods like the Probabilistic Risk Assessment
(PRA). New methodologies for system engineering are being
proposed by academia, some related to safety, but they have a
limited chance for successful adoption by the safety industry
unless they provide a clear connection and benefit in relation to
the traditional methodologies. Model-Based System Engineering
(MBSE) has produced multiple safety related applications. In
past work system models were used to generate event trees,
failure propagation scenarios and for early human reliability
analyses. This paper extends previous work, on a high-level
interdisciplinary system model for early defense in depth
assessment, to support the automatic generation of fault tree
statements for specific critical system components. These
statements can then be combined into fault trees using software
already utilized by the industry. The fault trees can then be linked
to event trees in order to provide a more complete picture of an
initiating event, the mitigating functions and critical components
that are involved. The produced fault trees use a worst-case
scenario approach by stating that if a dependency exists then the
failure propagation is certain. Our proposed method doesn’t
consider specific failure modes and related probabilities, a safety
expert can use them as a starting point for further development.
The methodology is demonstrated with a case study of a spent
fuel pool cooling system of a nuclear plant.
Type
Article
Description
Series/Report No
Department
Systems Engineering (SE)
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Finnish Research Programme
Funder
Format
10 p.
Citation
Papakonstantinou, Nikolaos, et al. "Automatic Fault Tree Generation From Multidisciplinary Dependency Models for Early Failure Propagation Assessment." ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.