Optimal Design of Degradation Experiment Based on Monte Carlo Simulation

Chun Su; Heng Zhang

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 211-212Optimal Design of Degradation Experiment Based on...

Optimal Design of Degradation Experiment Based on Monte Carlo Simulation

Abstract:

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.

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Periodical:

Advanced Materials Research (Volumes 211-212)

Pages:

280-284

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.211-212.280

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Online since:

February 2011

Authors:

Chun Su, Heng Zhang

Keywords:

Degradation Data Distribution, Degradation Experiment, Monte-Carlo Simulation, Optimization, pth Quantile

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