Optimal burn-in for n-subpopulations with stochastic degradation

Yisha Xiang, David W. Coit, Qianmei Feng

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

3 Scopus citations

Abstract

Often within any population of components there are strong and weak subpopulations, most notably in advanced electronic products. Burn-in test is often used to eliminate the early failures and reduce the warranty cost for those devices. This paper considers a burn-in process for a degradation-based heterogeneous population. An optimization model is formulated to achieve the optimal burn-in time. Numerical examples are provided to demonstrate the effectiveness of the burn-in process.

Original languageEnglish
Title of host publicationICQR2MSE 2011 - Proceedings of 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering
Pages148-152
Number of pages5
DOIs
StatePublished - 2011
Event2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, ICQR2MSE 2011 - Xi'an, China
Duration: Jun 17 2011Jun 19 2011

Publication series

NameICQR2MSE 2011 - Proceedings of 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

Conference

Conference2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, ICQR2MSE 2011
CountryChina
CityXi'an
Period06/17/1106/19/11

Keywords

  • Brownian motion with drift
  • burn-in
  • heterogeneous population

Fingerprint Dive into the research topics of 'Optimal burn-in for n-subpopulations with stochastic degradation'. Together they form a unique fingerprint.

  • Cite this

    Xiang, Y., Coit, D. W., & Feng, Q. (2011). Optimal burn-in for n-subpopulations with stochastic degradation. In ICQR2MSE 2011 - Proceedings of 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (pp. 148-152). [5976586] (ICQR2MSE 2011 - Proceedings of 2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering). https://doi.org/10.1109/ICQR2MSE.2011.5976586