We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
A Bayesian generalized Eyring‐Weibull accelerated life testing model.
- Authors
Smit, Neill; Raubenheimer, Lizanne; Mazzuchi, Thomas; Soyer, Refik
- Abstract
In this paper, a novel approach to a Bayesian accelerated life testing model is presented. The Weibull distribution is used as the life distribution and the generalized Eyring model as the time transformation function. This is a model that allows for the use of more than one stressor, whereas other commonly used acceleration models, such as the Arrhenius and power law models, incorporate one stressor. The use of the generalized Eyring‐Weibull model developed in this paper is demonstrated in a case study, where Markov chain Monte Carlo methods are utilized to generate samples for posterior inference.
- Subjects
ACCELERATED life testing; MARKOV chain Monte Carlo; WEIBULL distribution; ARRHENIUS equation
- Publication
Quality & Reliability Engineering International, 2024, Vol 40, Issue 2, p1110
- ISSN
0748-8017
- Publication type
Article
- DOI
10.1002/qre.3458