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System reliability estimation with input data from deterministic simulations
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Product and Production Development.ORCID iD: 0000-0002-2342-1647
2012 (English)In: Proceedings of the ASME 2012 International Mechanical Engineering Congress & Exposition IMECE2012: November 9-15, 2012, Houston, Texas, USA, New York: American Society of Mechanical Engineers , 2012, Vol. 11, 257-264 p.Conference paper, Published paper (Refereed)
Abstract [en]

The possibility of estimating reliability of hardware, both for components and systems, is important in engineering design, since many failures result in substantial impact on safety or functional requirements. Existing reliability estimation methods require measured or estimated input data which can be difficult to retrieve. The objective of this paper is therefore to derive a simulation-driven method, including variation management, for combining deterministic simulations with Fault Tree Analysis, to estimate system reliability when measured data is not available. The research work started with a literature survey followed by description of a typical as-is situation and definition of a to-be scenario. Then, a simulation-driven method was derived and verified by a case study. In particular, the system used for the case study was modeled and simulated as a transient dynamical system to derive information about loads on components. It was found that deterministic simulations can be used to produce relevant input data for fault tree analysis. The derived simulation-driven system reliability estimation method includes variation management and can be used for evaluation of concepts in the early stages of product development when limited measurement data is available

Place, publisher, year, edition, pages
New York: American Society of Mechanical Engineers , 2012. Vol. 11, 257-264 p.
National Category
Other Mechanical Engineering
Research subject
Computer Aided Design
Identifiers
URN: urn:nbn:se:ltu:diva-32329DOI: 10.1115/IMECE2012-87490Local ID: 6cbc5ede-3853-42a5-958f-c561a857449eISBN: 9780791845271 (print)OAI: oai:DiVA.org:ltu-32329DiVA: diva2:1005563
Conference
ASME 2012 International Mechanical Engineering Congress & Exposition : 09/11/2012 - 15/11/2012
Projects
Fastelaboratoriet - VINNEXC
Note
Godkänd; 2012; 20130117 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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