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Bayesian Methods for Planning Accelerated Life Tests
Technometrics, 2006This article describes Bayesian methods for accelerated life test planning with one accelerating variable, when the acceleration model is linear in the parameters, based on censored data from a log-location-scale distribution. We use a Bayesian criterion based on estimation precision of a distribution quantile at a specified use condition to find ...
Yao Zhang, William Q. Meeker
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Bayesian design for life tests and accelerated life tests
2018This paper describes Bayesian methods for life test planning with Type II censored data from a Weibull distribution, when the Weibull shape parameter is given. We use conjugate prior distributions and criteria based on estimating a quantile of interest of the lifetime distribution. One criterion is based on a precision factor for a credibility interval
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A Problem in Accelerated Life Testing
Journal of the American Statistical Association, 1971Abstract Parameters of the Power Rule Model are estimated using data from censored sample life tests conducted at accelerated environments. By amending the functional form of the model, it is possible to obtain estimators that are asymptotically independent.
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An approach to accelerated life tests of electronic components
East-West Design & Test Symposium (EWDTS 2013), 2013This article is devoted to the problems of conducting life tests of electronic components and to the ways of solving these problems. The need for research in the field of accelerated life tests is shown. A physics-of-failure approach to life tests with accent on parametric failures (due to aging) is considered.
Andrey Koulibaba +2 more
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A pitfall in accelerated life testing
Naval Research Logistics Quarterly, 1963AbstractThe Managing Editor invites communications which are consistent with the objectives of the Naval Research Logistics Quarterly. No communication will be printed without the expressed consent of the author. All views represented are those of the author and are not to be regarded as the opinion of the Naval Research Logistics Quarterly or any ...
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A model for accelerated life testing
Structural Safety, 1993Abstract After a short motivation for the problem of extremely high reliability a nonparametric model for accelerated life testing is described. Besides well introduced classical models for high reliabilities are mentioned. Finally a stress-dependent model for crack growth based on fatigue accumulation is discussed.
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A Bayesian Method for Planning Accelerated Life Testing
IEEE Transactions on Reliability, 2015In this paper, a Bayesian criterion is proposed based on the expected Kullback-Leibler divergence between the posterior and the prior distributions of the parameters of interest. We call the Bayesian criterion the reference optimality criterion, which is to find an optimal plan to maximize the amount of information from the data.
Ancha Xu, Yincai Tang
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A model for step‐stress accelerated life testing
Naval Research Logistics (NRL), 2003AbstractModern technology is producing high reliability products. Life testing for such products under normal use condition takes a lot of time to obtain a reasonable number of failures. In this situation a step‐stress procedure is preferred for accelerated life testing.
Dharmadhikari, A. D., Rahman, Md. Monsur
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Modelling accelerated life testing based on mean residual life
International Journal of Systems Science, 2005Accelerated life testing (ALT) is a widely used approach for reliability demonstration and prediction. Extensive research on ALT models has been focused on Accelerated Failure Time (AFT) models, Proportional Hazards (PH) models and some extensions of these two models.
Wenbiao Zhao, Elsayed A. Elsayed
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On Imprecise Statistical Inference for Accelerated Life Testing
2016Accelerated life testing provides an interesting challenge for quantification of the uncertainties involved, in particular due to the required linking of items’ failure times, or failure time distributions, at different stress levels. This paper provides an initial exploration of the use of statistical methods based on imprecise probabilities for ...
Frank P. A. Coolen +2 more
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