In this paper, the functional-failure identification and propagation (FFIP) framework is introduced as a novel approach for evaluating and assessing functional-failure risk of physical systems during conceptual design. The task of FFIP is to estimate potential faults and their propagation paths under critical event scenarios. The framework is based on combining hierarchical system models of functionality and configuration, with behavioral simulation and qualitative reasoning. The main advantage of the method is that it allows the analysis of functional failures and fault propagation at a highly abstract system concept level before any potentially high-cost design commitments are made. As a result, it provides the designers and system engineers with a means of designing out functional failures where possible and designing in the capability to detect and mitigate failures early on in the design process. Application of the presented method to a fluidic system example demonstrates these capabilities.
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A Graph-Based Fault Identification and Propagation Framework for Functional Design of Complex Systems
Tolga Kurtoglu,
Tolga Kurtoglu
Research Scientist
Missio Critical Technologies,
NASA Ames Research Center
, MS 269-3, Moffett Field, CA 94035
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Irem Y. Tumer
Irem Y. Tumer
Associate Professor
School of Mechanical, Industrial and Manufacturing Engineering,
Oregon State University
, 204 Rogers Hall, Corvallis, OR 97331
Search for other works by this author on:
Tolga Kurtoglu
Research Scientist
Missio Critical Technologies,
NASA Ames Research Center
, MS 269-3, Moffett Field, CA 94035
Irem Y. Tumer
Associate Professor
School of Mechanical, Industrial and Manufacturing Engineering,
Oregon State University
, 204 Rogers Hall, Corvallis, OR 97331J. Mech. Des. May 2008, 130(5): 051401 (8 pages)
Published Online: March 25, 2008
Article history
Received:
November 30, 2006
Revised:
August 12, 2007
Published:
March 25, 2008
Citation
Kurtoglu, T., and Tumer, I. Y. (March 25, 2008). "A Graph-Based Fault Identification and Propagation Framework for Functional Design of Complex Systems." ASME. J. Mech. Des. May 2008; 130(5): 051401. https://doi.org/10.1115/1.2885181
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