Handbook of Reliability Prediction Procedures for Mechanical Equipment

Abstract

A reliability prediction is performed in the early stages of a development program to support the design process. Performing a reliability prediction provides for visibility of reliability requirements in the early development phase and an awareness of potential degradation of the equipment during its life cycle. As a result of performing a reliability prediction, equipment designs can be improved, costly over-designs prevented and development testing time optimized. Performance of a reliability prediction for electronic equipment is well supported by standardized documentation in the form of military standards, specifications and handbooks. Such documents as MIL-STD-756 and MIL-HDBK-217 have been developed for predicting the reliability of electronic equipment. Development of these documents was made possible because the standardization and mass production of electronic parts has permitted the creation of valid failure rate data banks for high population electronic devices. Such extensive sources of quality and reliability information can be used directly to predict operational reliability while the electronic design is still on the drawing board.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1992
Accession Number
ADA273174

Entities

Organizations

  • Naval Surface Warfare Center Carderock Division

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Chemical Synthesis
  • Chemistry
  • Creep
  • Engineers
  • Failure Mode And Effect Analysis
  • Friction
  • Material Degradation Processes
  • Materials
  • Materials Laboratories
  • Materials Processing
  • Materials Science
  • Materials Testing
  • Mechanical Engineering
  • Mechanical Working
  • Mechanics
  • Modulus Of Elasticity
  • Stress Strain Relations

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Software Engineering

Technology Areas

  • Microelectronics