A novel approach to optimal accelerated life test planning with interval censoring

Tao Yang, Rong Pan

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Accelerated life testing (ALT) is widely used in industry to obtain the lifetime estimate of a product which is expected to last years or even decades. It is important to find an effective experimental design of ALT with the consideration of certain optimality criteria. In this paper, we discuss a new approach to designing ALT test plans when readout data (i.e., interval censoring) are collected. We utilize the proportional hazard (PH) model for a failure time distribution, and formulate a generalized linear model (GLM) for censored data. The optimal design is obtained such that the prediction variance of the expected product lifetime at the product's use condition is minimized.

Original languageEnglish (US)
Article number6497541
Pages (from-to)527-536
Number of pages10
JournalIEEE Transactions on Reliability
Volume62
Issue number2
DOIs
StatePublished - 2013

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Planning
Testing
Design of experiments
Hazards
Industry
Optimal design

Keywords

  • Accelerated life testing
  • generalized linear model
  • proportional hazard model
  • sensitivity analysis
  • U-optimal design

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Safety, Risk, Reliability and Quality

Cite this

A novel approach to optimal accelerated life test planning with interval censoring. / Yang, Tao; Pan, Rong.

In: IEEE Transactions on Reliability, Vol. 62, No. 2, 6497541, 2013, p. 527-536.

Research output: Contribution to journalArticle

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