Computer Aided Method for System Safety and Reliability Assessments

Abstract

The objective of this study was to determine a methodology for implementing feedback loops into a logical, automated, computer assisted probability assessment tool. A tool exists called the GO program, which allows for systems to be modeled in a block diagram or schematic format and then analyzed in a structured manner to determine the probabilities of outcome events. The challenge was to incorporate a method for analyzing feedback loops. Given the difficulty involved with using computer code to analyze feedback loops, reliability engineers would normally create two separate models. To allow for a single model to be used and achieve consistent and repeatable results, a methodology for creating multiple layers of feedback loops in increasing complexity has been analyzed for use with the GO program. Monte Carlo simulations for each of these representative models have been constructed and analyzed to validate the adequacy of the GO program to effectively create probabilities of event success and failure. With the demonstrated ability of the GO program to correctly model feedback loops, it clears a path for the Department of Defense to investigate the benefits of adopting a standardized approach for the analyses of complex systems.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2008
Accession Number
ADA488842

Entities

People

  • Steven M. Roycroft

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Ground and Sea Platforms
  • Human Systems
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Complex Systems
  • Computer Programs
  • Computers
  • Engineers
  • Failure Mode And Effect Analysis
  • Governments
  • Mathematical Analysis
  • Monte Carlo Method
  • Probability
  • Reliability
  • Reliability Engineering
  • Safety
  • Signal Generators
  • Simulations
  • Spreadsheet Software
  • Systems Engineering

Fields of Study

  • Engineering

Readers

  • Control Systems Engineering.
  • Database Systems and Applications
  • Systems Analysis and Design