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yangqun0514金虫 (正式写手)
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[求助]
求大神翻译一段统计学方法，非常感谢
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A full gage R&R Type-2 study was conducted to determine both the degree of precision for the SEM instrument (Gage ID: SEM / EDS) for specifically measuring strut diameters within the LRM-foam. This gage study was done to determine the variability specific to the measurement technique, where we tried to intentionally separate-out factors such as operator-bias related to field selection and inherent material variation (sample error). In brief, this testing involved three appraisers taking repeated measurements of the same ten struts that were marked within saved photographs (in this case a single strut is considered one part). These struts were intentionally selected to represent the normal distribution of strut diameters that are observed in the LRMfoam material. Using Minitab® 16 software we were able to calculate all indexes of precision that are characteristic of the measurement technique including repeatability error (equipment variation), reproducibility error (appraiser variation), and the combined gage GR&R error using a Xbar and R statistical model. The output results from this analysis can be referenced below. Redirecting your attention to the above table the reader can see the results for the one-sigma limits (1s) pertaining to repeatability, reproducibility, and the combined GR&R. The broad definition for the total GRR statistic is that it provides a measure of the combined variability considering all sources of error including within and among multiple operators. Traditionally, variation for EV, AV, and GR&R is reported as 5.15σ to reflect a 99 percent level of confidence. By dividing this 5.15σ value by 2 and rewriting, you may express each variability component as ± X amount of error. That is, any individual strut diameter measurement will demonstrate a combined repeatability and reproducibility error equal to ± 18.01μm, which will occur 99% of the time when using this present measurement technique. Or, this index indicates the difference between two individual test measurements that would be equaled or exceeded in 1 in 100 cases during the normal and correct operation of the method.  无标题.jpg |
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wanfuping
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RXMCDM: 金币+1, 多谢应助！ 2014-09-24 12:30:19
yangqun0514: 金币+40, 翻译EPI+1, ★★★很有帮助, 很有帮助，感谢 2014-09-25 19:54:26
RXMCDM: 金币+1, 多谢应助！ 2014-09-24 12:30:19
yangqun0514: 金币+40, 翻译EPI+1, ★★★很有帮助, 很有帮助，感谢 2014-09-25 19:54:26
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为确定专门用于测量LRM泡沫中支柱直径的仪器(Gage ID: SEM / EDS)的精确度,进行了一次完整的量规R&R Type-2研究.这次研究是为了确定与测量技术相关的变量,我们有意分离出了诸如地点选择(这个与操作者个人喜好相关的)和材料的内在差异(样本误差)等因素.简单地说,本测试中,三位评估者重复测量已存图片(本例中,一个支柱就算一部分)中被标记的10个相同的支柱， 这些支柱是特意选择的,能够反应出LRM泡沫材料中支柱直径的正态分布趋势.利用Using Minitab® 16软件和Xbar and R统计模型,那些反应测量技术特征的精确度指数都可计算得到,包括重复性误差(仪器差异),再生误差(评估者差异)以及综合量规GR&R误差. 本分析结果如下: 请读者注意以上的表格,可以看到与重复性、再生性和综合GR&R相关的one-sigma limits (1s)结果。总GRR统计数值的广义定义是为了提供一种方法来标定当考虑多操作者内外误差源时的综合差异。通常来说，EV, AV,和GR&R的差异一般是5.15σ，可信度可以达到99%。5.15σ除以2，再重写，就可以用± X误差量来表示单独差异部分。这就是说，当使用这种测量技术时，测量任何一个支柱直径，99%的概率能得到相当于± 18.01μm的综合重复性和再生性误差值。或者说，这个指标表明，当正常、规范地使用这种方法操作，两次单独测量的差异在100次中只有一次会接近或是超过那个误差值。 |
2楼2014-09-24 09:29:58
3楼2014-09-24 10:14:31
