Measurement Uncertainty in Production Solar Cell and Module Power

Cassidy Sainsbury, Harrison W. Wilterdink, R. Sinton
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Abstract

Only the reproducibility part of uncertainty is under the control of a production facility; making it in their favor to monitor, maintain, and improve production reproducibility. However, it is disturbingly common to find production facilities, and sometimes research organizations, making qualification decisions based on the statistically weak metric of maximum-minimum (range). Although range is easily computed and comprehended, it is not a good statistical measure. We show that reproducibility can be calculated easily with sound statistics that can be used by production facilities. Using a statistically strong metric like standard deviation provides more insight into the quality of data and potential contributors to the reproducibility than the often-used range metric (maximum and minimum). Range uses two points of many collected and does not give an accurate value for tester reproducibility.
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生产太阳能电池和组件功率的测量不确定度
只有不确定度的再现部分在生产设备的控制之下;使其有利于他们监控、维护和提高生产再现性。然而,令人不安的是,经常发现生产设施,有时是研究组织,根据统计上较弱的最大值-最小值(范围)度量来做出资格决定。虽然距离很容易计算和理解,但它不是一个很好的统计度量。我们表明,再现性可以很容易地计算与健全的统计,可用于生产设施。与常用的范围度量(最大值和最小值)相比,使用像标准偏差这样的统计上强大的度量可以更深入地了解数据的质量和对再现性的潜在影响。量程使用许多收集的两点,并不能给出测试仪再现性的准确值。
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