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Optimization of the test stress levels of an ADT

  • Jing Rui Zhang*
  • , Xiao Yang Li
  • , Tong Min Jiang
  • , Zheng Zheng Ge
  • *Corresponding author for this work
  • Beihang University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to predict the reliability of the product with high reliability and long life, the accelerated degradation test (ADT) is commonly applied. However, in the studies of optimizing the ADT plans, there is nearly no researches on how to select the test stress levels. In this paper, the drift Brownian motion is selected as the degradation model. The op timization of the selection of the stress levels in a step stress accelerated degradation test (SSADT) is studied. The objective is to minimize the mean square error (MSE) of the prediction of the product operation reliability under the cost constraints. Through a Monte Carlo simulation method, the optimal stress levels and related sample size and test time are obtained. At last, the robustness of the results is shown through the sensitive analysis.

Original languageEnglish
Title of host publication2011 Proceedings - Annual Reliability and Maintainability Symposium, RAMS 2011
DOIs
StatePublished - 2011
EventAnnual Reliability and Maintainability Symposium, RAMS 2011 - Lake Buena Vista, FL, United States
Duration: 24 Jan 201127 Jan 2011

Publication series

NameProceedings - Annual Reliability and Maintainability Symposium
ISSN (Print)0149-144X

Conference

ConferenceAnnual Reliability and Maintainability Symposium, RAMS 2011
Country/TerritoryUnited States
CityLake Buena Vista, FL
Period24/01/1127/01/11

Keywords

  • accelerated degradation test
  • Monte Carlo simulation
  • optimal design
  • sensitive analysis
  • step stress

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