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Research Papers: Design Automation

A Graph-Based Fault Identification and Propagation Framework for Functional Design of Complex Systems

[+] Author and Article Information
Tolga Kurtoglu

Missio Critical Technologies,  NASA Ames Research Center, MS 269-3, Moffett Field, CA 94035

Irem Y. Tumer1

School of Mechanical, Industrial and Manufacturing Engineering, Oregon State University, 204 Rogers Hall, Corvallis, OR 97331

1

Corresponding author.

J. Mech. Des 130(5), 051401 (Mar 25, 2008) (8 pages) doi:10.1115/1.2885181 History: Received November 30, 2006; Revised August 12, 2007; Published March 25, 2008

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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Copyright © 2008 by American Society of Mechanical Engineers
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Figures

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Figure 1

Comparison of FFIP to current fault assessment methods

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Figure 2

The architecture of the FFIP framework

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Figure 3

The FM, the schematic, and the CFG of a hold-up tank

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Figure 4

FFL for guide liquid and transfer liquid functions

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Figure 5

The evolution of system state for the first critical scenario

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