A New Compromise Design Plan for Accelerated Failure Time Models with Temperature as an Acceleration Factor

An accelerated life test of a product or material consists of the observation of its failure time when it is subjected to conditions that stress the usual ones. The purpose is to obtain the parameters of the distribution of the time-to-failure for usual conditions through the observed failure times....

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Main Authors: Irene Mariñas-Collado, M. Jesús Rivas-López, Juan M. Rodríguez-Díaz, M. Teresa Santos-Martín
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Mathematics
Subjects:
Online Access:https://www.mdpi.com/2227-7390/9/8/836
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spelling doaj-22cb4c25cf5c4fe8813ce6aeca8fc49a2021-04-12T23:01:54ZengMDPI AGMathematics2227-73902021-04-01983683610.3390/math9080836A New Compromise Design Plan for Accelerated Failure Time Models with Temperature as an Acceleration FactorIrene Mariñas-Collado0M. Jesús Rivas-López1Juan M. Rodríguez-Díaz2M. Teresa Santos-Martín3Department of Statistics and Operations Research and Mathematics Didactics, University of Oviedo, 33007 Oviedo, SpainDepartment of Statistics, Institute of Fundamental Physics and Mathematics, University of Salamanca, 37008 Salamanca, SpainDepartment of Statistics, Institute of Fundamental Physics and Mathematics, University of Salamanca, 37008 Salamanca, SpainDepartment of Statistics, Institute of Fundamental Physics and Mathematics, University of Salamanca, 37008 Salamanca, SpainAn accelerated life test of a product or material consists of the observation of its failure time when it is subjected to conditions that stress the usual ones. The purpose is to obtain the parameters of the distribution of the time-to-failure for usual conditions through the observed failure times. A widely used method to provoke an early failure in a mechanism is to modify the temperature at which it is used. In this paper, the statistically optimal plan for Accelerated Failure Time (AFT) models, when the accelerated failure process is described making use of Arrhenius or Eyring equations, was calculated. The result was a design that had only two stress levels, as is common in other AFT models and that is not always practical. A new compromise plan was presented as an alternative to the widely used “4:2:1 plan”. The three-point mixture design proposed specified a support point in the interval that was optimal for the estimation of the parameters in AFT models, rather than simply the middle point. It was studied in comparison to different commonly used designs, and it proved to have a higher D-efficiency than the others.https://www.mdpi.com/2227-7390/9/8/836accelerated failure timeArrheniusexperimental designEyringtemperature
collection DOAJ
language English
format Article
sources DOAJ
author Irene Mariñas-Collado
M. Jesús Rivas-López
Juan M. Rodríguez-Díaz
M. Teresa Santos-Martín
spellingShingle Irene Mariñas-Collado
M. Jesús Rivas-López
Juan M. Rodríguez-Díaz
M. Teresa Santos-Martín
A New Compromise Design Plan for Accelerated Failure Time Models with Temperature as an Acceleration Factor
Mathematics
accelerated failure time
Arrhenius
experimental design
Eyring
temperature
author_facet Irene Mariñas-Collado
M. Jesús Rivas-López
Juan M. Rodríguez-Díaz
M. Teresa Santos-Martín
author_sort Irene Mariñas-Collado
title A New Compromise Design Plan for Accelerated Failure Time Models with Temperature as an Acceleration Factor
title_short A New Compromise Design Plan for Accelerated Failure Time Models with Temperature as an Acceleration Factor
title_full A New Compromise Design Plan for Accelerated Failure Time Models with Temperature as an Acceleration Factor
title_fullStr A New Compromise Design Plan for Accelerated Failure Time Models with Temperature as an Acceleration Factor
title_full_unstemmed A New Compromise Design Plan for Accelerated Failure Time Models with Temperature as an Acceleration Factor
title_sort new compromise design plan for accelerated failure time models with temperature as an acceleration factor
publisher MDPI AG
series Mathematics
issn 2227-7390
publishDate 2021-04-01
description An accelerated life test of a product or material consists of the observation of its failure time when it is subjected to conditions that stress the usual ones. The purpose is to obtain the parameters of the distribution of the time-to-failure for usual conditions through the observed failure times. A widely used method to provoke an early failure in a mechanism is to modify the temperature at which it is used. In this paper, the statistically optimal plan for Accelerated Failure Time (AFT) models, when the accelerated failure process is described making use of Arrhenius or Eyring equations, was calculated. The result was a design that had only two stress levels, as is common in other AFT models and that is not always practical. A new compromise plan was presented as an alternative to the widely used “4:2:1 plan”. The three-point mixture design proposed specified a support point in the interval that was optimal for the estimation of the parameters in AFT models, rather than simply the middle point. It was studied in comparison to different commonly used designs, and it proved to have a higher D-efficiency than the others.
topic accelerated failure time
Arrhenius
experimental design
Eyring
temperature
url https://www.mdpi.com/2227-7390/9/8/836
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