Cost-effective degradation test plan for a nonlinear random-coefficients model

Seong-Joon Kim and Suk Joo Bae

Reliability Engineering and System Safety, 2013, vol. 110, issue C, 68-79

Abstract: The determination of requisite sample size and the inspection schedule considering both testing cost and accuracy has been an important issue in the degradation test. This paper proposes a cost-effective degradation test plan in the context of a nonlinear random-coefficients model, while meeting some precision constraints for failure-time distribution. We introduce a precision measure to quantify the information losses incurred by reducing testing resources. The precision measure is incorporated into time-varying cost functions to reflect real circumstances. We apply a hybrid genetic algorithm to general cost optimization problem with reasonable constraints on the level of testing precision in order to determine a cost-effective inspection scheme. The proposed method is applied to the degradation data of plasma display panels (PDPs) following a bi-exponential degradation model. Finally, sensitivity analysis via simulation is provided to evaluate the robustness of the proposed degradation test plan.

Keywords: Degradation test; D-optimal design; Fisher information matrix; Nonlinear random-coefficients model; Reliability (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:110:y:2013:i:c:p:68-79

DOI: 10.1016/j.ress.2012.09.010

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