Reliability inference for field conditions from accelerated degradation testing

Haitao Liao, Elsayed A. Elsayed

Research output: Contribution to journalArticle

115 Citations (Scopus)

Abstract

Accelerated degradation testing (ADT) is usually conducted under deterministic stresses such as constant-stress, step-stress, and cyclic-stress. Based on ADT data, an ADT model is developed to predict reliability under normal (field) operating conditions. In engineering applications, the "standard" approach for reliability prediction assumes that the normal operating conditions are deterministic or simply uses the mean values of the stresses while ignoring their variability. Such an approach may lead to significant prediction errors. In this paper, we extend an ADT model obtained from constant-stress ADT experiments to predict field reliability by considering the stress variations. A case study is provided to demonstrate the proposed statistical inference procedure. The accuracy of the procedure is verified by simulation using various distributions of field stresses.

Original languageEnglish (US)
Pages (from-to)576-587
Number of pages12
JournalNaval Research Logistics
Volume53
Issue number6
DOIs
StatePublished - Sep 2006
Externally publishedYes

Fingerprint

Degradation
Testing
Predict
Prediction Error
Stress Field
Inference
Engineering Application
Statistical Inference
Mean Value
Prediction
Model
Demonstrate
Experiment
Simulation
Experiments

Keywords

  • Approximation
  • Brownian motion with drift
  • Itô calculus
  • Reliability prediction
  • Stochastic stress exposure

ASJC Scopus subject areas

  • Management Science and Operations Research

Cite this

Reliability inference for field conditions from accelerated degradation testing. / Liao, Haitao; Elsayed, Elsayed A.

In: Naval Research Logistics, Vol. 53, No. 6, 09.2006, p. 576-587.

Research output: Contribution to journalArticle

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