RADC Reliability Notebook, Volume 1

Abstract

RADC Reliability Notebook, Volume I, is an updating of the RADC reliability Notebook which was first published in 1958 and which had been revised several times up until the Fall of 1966. There are twelve chapters comprising, first, a general discussion, followed by a presentation of information which project managers and project engineers can use to be more effective in predicting, measuring and improving system and equipment reliability. A subject index has been included at the end in order to provide the user with a guide to locating specific information. This updating was based on a major collection of existing information with emphases on reliability in large system development as well as in non-system or off-the-shelf hardware procurement programs. Emphasis has been placed on prediction techniques; test demonstration plans and analysis of test data; and on the relationship between reliability and various other factors including engineering disciplines, program milestones, design reviews and engineering/acceptance tests covered at length in various Air Force documents such as AFSCM/AFLCM 310-1 and the AFSCM 375 series of publications. Of particular significance is the inclusion of information on Bayesian statistics and the application of this statistical concept to the development of demonstration test plans and the interpretation of test data.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1968
Accession Number
AD0845304

Entities

People

  • Fred Mazzilli
  • John Mathis
  • Richard Schwartz
  • Samuel Shapiro

Tags

Communities of Interest

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

DTIC Thesaurus Topics

  • Acceptability
  • Computational Science
  • Data Analysis
  • Data Science
  • Engineers
  • Failure Mode And Effect Analysis
  • Human Factors Engineering
  • Information Science
  • Management Personnel
  • Measurement
  • Organizational Structure
  • Radar
  • Reliability
  • Statistical Analysis
  • Systems Engineering
  • Test And Evaluation
  • Test Methods

Fields of Study

  • Engineering

Readers

  • Library and Information Science
  • Regression Analysis.
  • Software Engineering

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference