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Measurement Uncertainty in Production Solar Cell and Module Power

机译:生产太阳能电池和组件电源中的测量不确定度

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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.
机译:只有不确定性的可再现性部分处于生产设备的控制之下;从而有利于他们监控,维护和提高生产的可重复性。但是,找到生产设施,有时是研究组织,是根据最大最小值(范围)的统计上较弱的度量标准来进行资格决定的,这令人不安。尽管范围很容易计算和理解,但它不是一个很好的统计量度。我们证明,利用可用于生产设施的可靠统计信息,可以轻松计算可重复性。与常用的范围指标(最大和最小值)相比,使用像标准偏差这样的统计上强的指标可以更深入地了解数据质量和潜在的可重复性。范围使用许多收集的两个点,并且没有给出测试仪可重复性的准确值。

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