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A Simulation and Modeling Based Reliability Requirements Assessment Methodology

[+] Author Affiliations
Tomonori Honda, Eric Saund, Ion Matei, Bill Janssen, Bhaskar Saha, Daniel G. Bobrow, Johan de Kleer, Tolga Kurtoglu

Palo Alto Research Center, Inc., Palo Alto, CA

Zsolt Lattmann

Vanderbilt University, Nashville, TN

Paper No. DETC2014-35482, pp. V007T07A009; 12 pages
doi:10.1115/DETC2014-35482
From:
  • ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 7: 2nd Biennial International Conference on Dynamics for Design; 26th International Conference on Design Theory and Methodology
  • Buffalo, New York, USA, August 17–20, 2014
  • Conference Sponsors: Design Engineering Division, Computers and Information in Engineering Division
  • ISBN: 978-0-7918-4640-7
  • Copyright © 2014 by ASME

abstract

To minimize the design cost of a complex system and maximize performance, a design team ideally must be able to quantify reliability and mitigate risk at the earliest phases of the design process, where 80% of the cost is committed. This paper demonstrates the capabilities of a new System Reliability Exploration Tool based on the improved simulation capabilities of a system called Fault-Augmented Modelica Extension (FAME). This novel tool combines concepts from FMEA, traditional Reliability Analysis, and Quality Engineering to identify, gain insight, and quantify the impact of component failure modes through time evolution of a system’s lifecycle. We illustrate how to use the FAME System Reliability Exploration Tool through a vehicle design case study.

Copyright © 2014 by ASME

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