Generating optimal design for ALT experiment with time censoring

Moein Saleh, Rong Pan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The computer generated optimal experimental designs have become popular as the computational capabilities of computers grow. For example, the optimal test plans of accelerated life tests (ALT) have received a lot of attentions from academia and practitioners in recent years. In this paper, we discuss a computational method for finding the D-optimal ALT plans through the generalized linear model (GLM) of accelerated life testing problem. A modified version of the point exchange algorithm (PEA) is developed. By comparing this algorithm with the quasi Newton method on an ALT planning problem, we demonstrate the superiority of our method in terms of speed and accuracy.

Original languageEnglish (US)
Title of host publication59th Annual Reliability and Maintainability Symposium, RAMS 2013 - Proceedings and Tutorials
DOIs
StatePublished - Jul 1 2013
Event59th Annual Reliability and Maintainability Symposium, RAMS 2013 - Orlando, FL, United States
Duration: Jan 28 2013Jan 31 2013

Publication series

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

Other

Other59th Annual Reliability and Maintainability Symposium, RAMS 2013
CountryUnited States
CityOrlando, FL
Period1/28/131/31/13

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Keywords

  • Weibull distribution
  • censoring
  • design of experiments
  • optimal designs
  • point exchange algorithm

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Mathematics(all)
  • Computer Science Applications

Cite this

Saleh, M., & Pan, R. (2013). Generating optimal design for ALT experiment with time censoring. In 59th Annual Reliability and Maintainability Symposium, RAMS 2013 - Proceedings and Tutorials [6517665] (Proceedings - Annual Reliability and Maintainability Symposium). https://doi.org/10.1109/RAMS.2013.6517665