This paper presents a framework to compare the resiliency of different designs during the conceptual design, when information about implementation details is unavailable. We apply the Inherent Behavioral Functional Model (IBFM) tool to develop an initial functional model for a system and simulate the failure behavior. The simulated failure scenarios provide us the information on the unique failure propagation paths and the end state/final behavior of the system assigned to each failure. Each failure path is caused by injecting one or multiple simultaneous faults into the functional model. Within this framework, we generate a population of functional models from a baseline seed model, and evaluate its potential failure scenarios. We also develop a cost-risk model to compare resiliency of different designs, and produce a preference ranking. select the most resilient one, based upon the cost-risk objective. The risk is calculated based on the probability of having an undesired end state for each design, and a consequential cost is assigned to each failure to quantify the cost-risk for a given design. In this paper, we implement and demonstrate the proposed method on the design of a resilient mono-propellant system.
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ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
August 6–9, 2017
Cleveland, Ohio, USA
Conference Sponsors:
- Design Engineering Division
- Computers and Information in Engineering Division
ISBN:
978-0-7918-5812-7
PROCEEDINGS PAPER
Resilient System Design Using Cost-Risk Analysis With Functional Models
Elham Keshavarzi,
Elham Keshavarzi
Oregon State University, Corvallis, OR
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Matthew McIntire,
Matthew McIntire
Oregon State University, Corvallis, OR
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Kai Goebel,
Kai Goebel
Ames Research Center, Moffett Field, CA
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Irem Y. Tumer,
Irem Y. Tumer
Oregon State University, Corvallis, OR
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Christopher Hoyle
Christopher Hoyle
Oregon State University, Corvallis, OR
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Elham Keshavarzi
Oregon State University, Corvallis, OR
Matthew McIntire
Oregon State University, Corvallis, OR
Kai Goebel
Ames Research Center, Moffett Field, CA
Irem Y. Tumer
Oregon State University, Corvallis, OR
Christopher Hoyle
Oregon State University, Corvallis, OR
Paper No:
DETC2017-67952, V02AT03A043; 11 pages
Published Online:
November 3, 2017
Citation
Keshavarzi, E, McIntire, M, Goebel, K, Tumer, IY, & Hoyle, C. "Resilient System Design Using Cost-Risk Analysis With Functional Models." Proceedings of the ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. Volume 2A: 43rd Design Automation Conference. Cleveland, Ohio, USA. August 6–9, 2017. V02AT03A043. ASME. https://doi.org/10.1115/DETC2017-67952
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