Bayesian Methods for Assessing Reliability Fix Effectiveness Factors

Abstract

Reliability growth testing is used to identify failure modes in the system that can be mitigated through corrective actions to reduce their rate of occurrence. Fix Effectiveness Factors (FEFs) are used to characterize the effectiveness of the corrective actions, and they are also used in reliability growth projections to understand the reliability improvement that can be expected after the corrective actions are implemented. Testing is often used to verify that the corrective actions meet the desired FEF values. This report presents a Bayesian approach that uses the data both before and after the corrective action to develop a posterior estimate of the FEF. The Bayesian prior can be informative or non-informative, and applications for designing FEF verification tests are also presented.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
May 01, 2024
Accession Number
AD1229943

Entities

People

  • Martin Wayne

Tags

Readers

  • Regression Analysis.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference