Use of Sensitivity Analysis to Assess the Effect of Model Uncertainty in Analyzing Accelerated Life Test Data

Supplemental Files
Date
2003-01-01
Authors
Meeker, William
Escobar, Luis
Meeker, William
Zayac, Steve
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Authors
Research Projects
Organizational Units
Statistics
Organizational Unit
Journal Issue
Series
Department
Statistics
Abstract

Accelerated life tests are used to obtain timely information on the durability and reliability of materials. Test units are subjected to higher than usual levels of “stress” and a model is used to estimate life at use conditions. Although it is desirable to use a physically-based model to justify the required extrapolation, in many practical situations, no such model is available or the physical basis for extrapolation is uncertain. In such situations, extrapolation is based on an empirical model. Sensitivity analysis tools then become important to assess the effect of model error and to allow engineers to make safe design decisions. This paper presents models, methods, and a description of software tools for performing systematic sensitivity analysis to assess potential model error. These methods are illustrated with an experiment that was conducted to determine if the fatigue life of a spring would meet a given specification.

Comments

This preprint has been published in Case Studies in Reliability and Maintenance. Ed. Wallace r. Blischke and D. N. Prabhakar Murthy. Hoboken, NJ: John Wiley & Sons, 2003.

Description
Keywords
Citation
DOI
Collections