0

Full Content is available to subscribers

Subscribe/Learn More  >

Multi-Stage Uncertainty Quantification for Verifying the Correctness of Complex System Designs

[+] Author Affiliations
Christopher Hoyle, Irem Y. Tumer

Oregon State University, Corvallis, OR

Tolga Kurtoglu

Palo Alto Research Center, Palo Alto, CA

Wei Chen

Northwestern University, Evanston, IL

Paper No. DETC2011-47888, pp. 1169-1178; 10 pages
doi:10.1115/DETC2011-47888
From:
  • ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
  • Volume 5: 37th Design Automation Conference, Parts A and B
  • Washington, DC, USA, August 28–31, 2011
  • Conference Sponsors: Design Engineering Division and Computers and Information in Engineering Division
  • ISBN: 978-0-7918-5482-2
  • Copyright © 2011 by ASME

abstract

Designing complex systems for mission-critical applications requires a design process with focus upon maximizing the probability of meeting design requirements. Typically the design process for these systems consists of filtering and refining an initial set of conceptual designs to produce a final set of detailed designs. This final set of designs is presented to the system contracting agency or management team for design selection. In this work, a framework is presented for a multi-stage design process in which the Probability of Correctness (PoC) is utilized as a metric to sequentially filter designs from the abstract conceptual phase through the detailed design phase. This framework utilizes methods for uncertainty propagation (UP) from reliability engineering, which are organized within the framework to match the UP method with the model fidelity and data type available at each stage of the process. A case study using the Advanced Diagnostic and Prognostic Testbed (ADAPT) Electric Power System (EPS) is presented to illustrate both the verification process utilizing multiple UP methods, and also the use of the OpenModelica environment for system design. A discussion presents a generalization of the framework and the future work needed to realize the comprehensive framework for system design.

Copyright © 2011 by ASME

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s "Cited By" API will populate this tab (http://www.crossref.org/citedby.html).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging and repositioning the boxes below.

Related eBook Content
Topic Collections

Sorry! You do not have access to this content. For assistance or to subscribe, please contact us:

  • TELEPHONE: 1-800-843-2763 (Toll-free in the USA)
  • EMAIL: asmedigitalcollection@asme.org
Sign In