Andrey Pepelyshev, Ansgar Steland and Alejandro Avellan-Hampe Acceptance sampling plans for photovoltaic modules with two-sided specification limits Progress in Photovoltaics: Research and Applications 22
The evaluation of solar cells and PV modules has to rely on random samples and their statistical analysis. In this article, the classic acceptance sampling methodology is generalized to the case of two-sided specification limits. Valid sampling plans are constructed for arbitrary output power distributions by making use of flash data tables. It turns out that the associated operating characteristic curve is parameterized by the ratio of underperforming and overperforming modules. We investigate by numerical simulation studies to which extent the required sample size depends on that ratio and on the shape of the power output distribution. A real data example indicates that the new approach often results in substantially smaller control samples than classic approaches.
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