Optimal Design of Step-Stress Degradation Tests in the Case of Destructive Measurement

High-reliability and long-lifetime products are often exposed to a variety of stresses in use condition, and there are usually multiple performance indicators of the products which gradually degrade over time. The technology of constant stress accelerated degradation test with multiple stresses and multiple degradation measures provides an efficient and feasible way for lifetime prediction of such products. It is one of the core issues in accelerated degradation test research how to design the plan of constant stress accelerated degradation test with multiple stresses and multiple degradation measures to result in the most accurate lifetime prediction for such products under the constraint of test budget. Existing methods of optimal design for accelerated degradation test are only for cases of a single stress or a single degradation measure which cannot be applied to solve the complex problem of optimal design for test plans under an occasion of multiple stresses and multiple degradation measures. Aimed at an occasion that analytical form of optimization objective function is difficult to derive or even does not exist, a novelty method of optimal design for constant stress accelerated degradation test with multiple stresses and multiple degradation measures is presented by incorporating Monte Carlo simulation into dealing with this problem, setting up a optimization model including design variables, optimization objective function and constraints, presenting optimization algorithm based on Monte Carlo simulation and surface fitting. Optimal design for constant stress accelerated degradation test with multiple stresses and multiple degradation measures of rubber sealing O-ring is taken as an illustrative example to demonstrate validity of the presented method. The results of sensitivity analysis of the optimal test plan show that the plan is robust when the deviation of parameters of the model is within 10%.

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“…. ., m. Solve equations (9) and (10) to obtaint p0 . Obtain t p0 using the same procedure as above by substituting priori parameters.…”

Section: The Computation Oft P0mentioning

confidence: 99%

Optimal design of constant stress accelerated degradation test plan with multiple stresses and multiple degradation measures

Wang

Zhang

et al. 2014

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…Similarly, Park and Yum 13 designed an optimum ALT plan with two stresses. Recently, Park et al 14 designed an optimum step stress testing plan for destructive degradation measurements.…”

Section: Introductionmentioning

confidence: 99%

Optimum Accelerated Life Testing Plans Based on Proportional Mean Residual Life

Zhao¹,

Elsayed

2005

Quality & Reliability Eng

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In this paper, we present an efficient and practical approach for designing accelerated life testing (ALT) plans based on the proportional mean residual life (PMRL) regression model. The plans determine the appropriate levels for each stress type and the number of test units allocated to each level in order to obtain accurate mean residual life estimates at normal operating conditions. Unlike previous ALT plans, the proposed plans need not assume the life-stress relationship. A numerical example that demonstrates the design of such accelerated plans is presented. The proposed plans can also be applied in situations with more than a single accelerating stress without any difficulties.

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“…For other stages, f(⋅) is functions about F of the right side of acceleration models (25) and (26). Based on average wear constants, dynamic wear process under use load is determined according to Equation (13). Moreover, SSPB dynamic wear curve is obtained at given initial clearance.…”

Section: Wear Degradation Data Nonlinear Fittingmentioning

confidence: 99%

Lifetime prediction of self-lubricating spherical plain bearings based on physics-of-failure model and accelerated degradation test

Wang¹,

Fang²,

Zhang³

et al. 2016

EiN

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Optimal Design of Step-Stress Degradation Tests in the Case of Destructive Measurement

Cited by 18 publications

References 18 publications

Optimal design of constant stress accelerated degradation test plan with multiple stresses and multiple degradation measures

Optimal design of constant stress accelerated degradation test plan with multiple stresses and multiple degradation measures

Optimum Accelerated Life Testing Plans Based on Proportional Mean Residual Life

Lifetime prediction of self-lubricating spherical plain bearings based on physics-of-failure model and accelerated degradation test

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