An Extension to the Weibull Process Model

Abstract

A system testing program may consist of two kinds of test phases: those in which system configuration is continually modified to reduce the frequency of failures and those in which system configuration does not change. The system failure rate may be modeled as the intensity function of a Weibull process in the former case and a homogeneous Poisson process in the latter case. This paper considers a nonhomogeneous Poisson process consisting of a time truncated Weibull process followed by a time truncated homogeneous Poisson process and illustrates how such an extended model can be used to plan and evaluate a reliability demonstration test. The resulting methodology allows a unified treatment of failure data from two consecutive test phases and can reduce consumer and producer risks while at the same time requiring less test time.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1981
Accession Number
ADA109713

Entities

People

  • Grady W. Miller

Organizations

  • United States Army Materiel Systems Analysis Activity

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Consumers
  • Data Analysis
  • Data Mining
  • Data Science
  • Distribution Functions
  • Equations
  • Estimators
  • Goodness Of Fit Tests
  • Information Science
  • Intensity
  • Order Statistics
  • Probability
  • Probability Distributions
  • Reliability
  • Statistical Analysis
  • Statistics
  • Systems Analysis

Readers

  • Aerospace Test and Evaluation
  • Statistical inference.