A Fuzzy Method for Preliminary Design Random Access Memory Failure Rate Prediction

Abstract

Preliminary design failure rate predictions tend to be rough approximations due to a lack of sufficient information about components, materials, requirements, etc.. Often, experienced engineers can give a qualitative assessment of the possible failure rate of a given design, but have a difficult time quantifying that assessment without the aid of historical data, mathematical equations, or computers. It would be much easier if the experienced engineers judgement or verbal, qualitative evaluations could be converted to quantitative estimates? Fuzzy-set theory provides a method to convert qualitative or subjective evaluations into quantitative ones. This work looks at how fuzzy-set theory can be used to convert qualitative evaluations of factors affecting failure rates into quantitative estimates of failure rates. By using fuzzy estimates of the environment and design effects on failure rate, data is generated by the fuzzy failure rate prediction method.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1992
Accession Number
ADA267948

Entities

People

  • Keith R. Weyenberg

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computer Programs
  • Computers
  • Electronic Components
  • Electronic Equipment
  • Engineering
  • Engineers
  • Equations
  • Fuzzy Logic
  • Fuzzy Sets
  • Judgment
  • Literature Surveys
  • Mathematical Logic
  • Neural Networks
  • Reliability
  • Set Theory
  • Test And Evaluation

Readers

  • Computational Modeling and Simulation
  • Statistical inference.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.