Reliability prediction and testing plan based on an accelerated degradation rate model

Haitao Liao, E. A. Elsayed

Research output: Contribution to journalArticle

24 Citations (Scopus)

Abstract

Accelerated Degradation Testing (ADT) is a viable alternative to accelerated life testing with censoring to estimate reliability without waiting for actual failures to occur. However, the estimation accuracy relies greatly on both precise representation of covariates' impacts on degradation behaviour and a carefully designed ADT plan. In this paper, an ADT model, called Accelerated Geometric Brownian Motion Degradation Rate (AGBMDR) model, is proposed by modelling degradation rate in order to explain covariates' effects and inherent degradation rate variation precisely. Based on baseline parameter estimates of the model through a pilot ADT experiment, a local optimum ADT plan is developed to refine estimation accuracy of interests. The objective considered is to minimise the Generalised Variance (GV) of parameter estimates. A numerical example is provided to demonstrate the reliability inference procedure and the optimum ADT design methodology. The result shows that the optimum ADT plan leads to a more efficient experiment than the traditional ADT plan in terms of relative efficiency criterion.

Original languageEnglish (US)
Pages (from-to)402-422
Number of pages21
JournalInternational Journal of Materials and Product Technology
Volume21
Issue number5
DOIs
StatePublished - 2004
Externally publishedYes

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Degradation
Testing
Brownian movement
Experiments

Keywords

  • Accelerated degradation testing
  • Degradation rate
  • Geometric Brownian Motion
  • Optimum testing plan
  • Reliability estimate

ASJC Scopus subject areas

  • Materials Science(all)

Cite this

Reliability prediction and testing plan based on an accelerated degradation rate model. / Liao, Haitao; Elsayed, E. A.

In: International Journal of Materials and Product Technology, Vol. 21, No. 5, 2004, p. 402-422.

Research output: Contribution to journalArticle

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