Estimating System and Component Reliabilities under Partial Information on Cause of Failure.

Abstract

Estimating component reliabilities along with the system reliability frequently requires using lifetimes from the system level. Due to cost and time constraints, however, the exact cause of system failure may be unknown. Instead, it may only be ascertained that the cause of failure is due to one component in a subset of components, e.g., the subset forms a subsystem. Confronted with such data, this article discusses how to exploit fully the available information using a maximum likelihood approach. We extend and clarify the useful work of Miyakawa (1984). A small Monte Carlo study indicates the helpfulness of this approach. Keywords: Reliability data bases.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1987
Accession Number
ADA189107

Entities

People

  • Frank M. Guess
  • John S. Usher
  • Thom J. Hodgson

Organizations

  • University of South Carolina

Tags

DTIC Thesaurus Topics

  • Air Force
  • Databases
  • Engineering
  • Estimators
  • Failure Analysis
  • Industrial Engineering
  • Information Science
  • Life Tests
  • Maximum Likelihood Estimation
  • Military Research
  • Probability
  • Random Variables
  • Reliability
  • Scientific Research
  • South Carolina
  • Statistical Analysis
  • Statistics

Fields of Study

  • Engineering

Readers

  • Statistical inference.
  • Systems Analysis and Design