Optimal Design of Degradation Experiment Based on Monte Carlo Simulation

Abstract:

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The optimal design of degradation experiments under the cost restraint is studied. The performance degradation process of products is defined with the degradation data distribution. Whether the total experiment cost exceeds the predetermined budget or not is set as the constraint condition, the objective is to minimize pth quantile variance of the degradation data, an optimal model for degradation experiment is established. A Monte Carlo simulation program is developed to obtain the optimal experiment scheme. An example of a metal crack degradation data is used to verify the efficiency of the method.

Info:

Periodical:

Advanced Materials Research (Volumes 211-212)

Edited by:

Ran Chen

Pages:

280-284

DOI:

10.4028/www.scientific.net/AMR.211-212.280

Citation:

C. Su and H. Zhang, "Optimal Design of Degradation Experiment Based on Monte Carlo Simulation", Advanced Materials Research, Vols. 211-212, pp. 280-284, 2011

Online since:

February 2011

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Price:

$35.00

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