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Optimal Constant-Stress Accelerated Life Test Plans for One-Shot Devices with Components Having Exponential Lifetimes under Gamma Frailty Models

Man Ho Ling

2022Mathematics20 citationsDOIOpen Access PDF

Abstract

Optimal designs of constant-stress accelerated life test plans is one of the important topics in reliability studies. Many devices produced have very high reliability under normal operating conditions. The question then arises of how to make the optimal decisions on life test plans to collect sufficient information about the corresponding lifetime distributions. Accelerated life testing has become a popular approach to tackling this problem in reliability studies, which attempts to extrapolate from the information obtained from accelerated testing conditions to normal operating conditions. In this paper, we develop a general framework to obtain optimal constant-stress accelerated life test plans for one-shot devices with dependent components, subject to time and budget constraints. The optimal accelerated test plan considers an economical approach to determine the inspection time and the sample size of each accelerating testing condition so that the asymptotic variance of the maximum likelihood estimator for the mean lifetime under normal operating conditions is minimized. This study also investigates the impact of the dependence between components on the optimal designs and provides practical recommendations on constant-stress accelerated life test plans for one-shot devices with dependent components.

Topics & Concepts

Accelerated life testingReliability (semiconductor)Constant (computer programming)Test planEstimatorComputer scienceReliability engineeringExponential distributionExponential functionStress (linguistics)Mathematical optimizationStatisticsMathematicsWeibull distributionEngineeringMathematical analysisPhysicsQuantum mechanicsPhilosophyLinguisticsPower (physics)Programming languageStatistical Distribution Estimation and ApplicationsReliability and Maintenance OptimizationOptimal Experimental Design Methods