Reliability-Growth Assessment, Prediction, and Control for Electronic Engine Control (GAPCEEC)

Abstract

This Reliability-Growth Assessment, Prediction and Control for Electronic Engine Control (GAPCEEC) program was performed under contract F33615- 81-C-2015. This 22-month program was formulated to study and analyze the reliability-growth phenomena obtained from electronic and hydromechanical gas turbine control equipment. This study consisted of a thorough review of the literature; an evaluation of five math models against four gas turbine control components having field and development experience; selection of the optimum reliability growth model; and development of a procedure for applying the optimum model to future development programs. Keywords include: Electronic Engine Control; Reliability Growth; AMSAA/Duane Model; Endless-Burn-In Model; Time-Series Analysis; Warranties; Reliability Prediction; and Assessment and Control.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1984
Accession Number
ADA163070

Entities

People

  • Craig F. Eilbert
  • James A. Terrell
  • Michael E. Mcglone
  • Thomas W. Eakle

Organizations

  • Pratt & Whitney

Tags

Communities of Interest

  • Advanced Electronics
  • C4I
  • Human Systems
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Computational Science
  • Computer Programs
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Information Processing
  • Information Science
  • Mathematical Filters
  • Maximum Likelihood Estimation
  • Operations Research
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Analysis
  • Surveys

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Inertial Navigation Systems.
  • Software Engineering

Technology Areas

  • Microelectronics
  • Microelectronics - Graphene