Analysis of a Stochastic Model to Determine Failure Rates for Communication-Electronic Systems.

Abstract

Work accomplished by headquarters Air Force Logistics Command (AFLC) demonstrates a need to consider both on-time and off-time failures when computing communication-electronic spares requirements. However, AFLC has been unable to verify and validate a method that would integrate both failure types into a single requirements algorithm. This thesis attempts to verify and validate a method which integrates the two distributions. On-time failures are derived through a stochastic growth process, where expected on-failures are divided by expected off-failures, then multiplied by both an initial off-failure rate and power-ups. The initial off-failure rate equals expected off-failures divided by average power-ups attempted. Off-failures occur through unsuccessful attempts to power-up a system.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1986
Accession Number
ADA174394

Entities

People

  • Thomas M. Skowronek

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computations
  • Computers
  • Delphi Method
  • Equations
  • Literature Surveys
  • Logistics
  • Maintenance
  • Maintenance Management
  • Markov Processes
  • Mobile Communications
  • Mobile Phones
  • Probability
  • Three Dimensional
  • Time Intervals
  • Weapon Systems

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Government Contracting/Procurement.
  • Military Logistics and Supply Chain Management

Technology Areas

  • Microelectronics