Using Accelerated Tests to Predict Service Life in Highly-Variable Environments

Date
2000-01-01
Authors
Meeker, William
Escobar, Luis
Meeker, William
Chan, Victor
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

Today's manufacturers need to develop newer, higher technology products in record time while improving productivity, reliability, and quality. This requires improved accelerated test (AT) methods that can usefully predict service life. For example, automobile manufacturers would like to develop a 3-month test to predict 5 or 10-year field reliability of a coating system. Such estimation/prediction from ATs involves extrapolation. Seriously inadequate predictions will result unless adequate models and methods are used. This paper describes a general framework within which one can use laboratory test results to predict product field service life performance of certain products in a highly-variable environment.

Comments

This preprint was published in Service Life Prediction: Methodology and Metrologies. ACS Symposium Series vol. 805. Washington, DC: ACS, 2001.

Description
Keywords
Citation
DOI
Collections