Maximum likelihood estimation of double alternative step-stress accelerated life test for electronics

Zhicao Zhao, Baowei Song, Xinping Wang, Guozhen Zhang

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

3 Scopus citations

Abstract

For the application of double alternative step-stress accelerated life test in the life assessment of modern high reliable and long life electronic equipment, the maximum likelihood estimation (MLE) method is applied to make its life and reliability assessment in operating stress. With electronic product failure obeying exponential distribution, the likelihood equations of acceleration model parameters were established according to time convert. On the basis of acceleration model parameters and Fisher information matrix, the maximum likelihood estimation and approximate confidence interval of life expectancy in operating stress were acquired. In the end, random simulation method was used to prove the validity and advantages of the statistical method above compared with other method.

Original languageEnglish
Title of host publicationArtificial Intelligence and Computational Intelligence - Third International Conference, AICI 2011, Proceedings
Pages27-34
Number of pages8
EditionPART 1
DOIs
StatePublished - 2011
Event3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011 - Taiyuan, China
Duration: 24 Sep 201125 Sep 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume7002 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference3rd International Conference on Artificial Intelligence and Computational Intelligence, AICI 2011
Country/TerritoryChina
CityTaiyuan
Period24/09/1125/09/11

Keywords

  • Double alternative step-stress accelerated life test
  • Electronics
  • Exponential distribution
  • Fisher information matrix
  • Maximum likelihood estimation (MLE)

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