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Accelerated Degradation Testing Optimal Design Based on Uncertain Process

  • Beihang University

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

Abstract

For long lifetime and highly reliable products with few samples, how to design an efficient step-stress accelerated degradation testing (SSADT) plan is still an urgent problem to be solved. In such a case, an uncertain process is applied to describe the performance degradation process of products. In this paper, an optimal problem is established for an SSADT which the objective is minimizing the square of the distance between test data and uncertain distribution based on the least-squares method. Under the limited budget, optimal variables are determined such as stress levels, the monitoring time and testing sample sizes. Finally, a simulation case is constructed to illustrate the effectiveness of the proposed optimization method.

Original languageEnglish
Title of host publicationProceedings - 12th International Conference on Reliability, Maintainability, and Safety, ICRMS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages249-253
Number of pages5
ISBN (Electronic)9781538670767
DOIs
StatePublished - 2 Jul 2018
Event12th International Conference on Reliability, Maintainability, and Safety, ICRMS 2018 - Shanghai, China
Duration: 17 Oct 201819 Oct 2018

Publication series

NameProceedings - 12th International Conference on Reliability, Maintainability, and Safety, ICRMS 2018

Conference

Conference12th International Conference on Reliability, Maintainability, and Safety, ICRMS 2018
Country/TerritoryChina
CityShanghai
Period17/10/1819/10/18

Keywords

  • Accelerated degradation testing (ADT)
  • Least square method
  • Optimal design
  • Uncertain process

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