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yangqun0514金蟲 (正式寫手)
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求大神翻譯一段統(tǒng)計學方法，非常感謝
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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. 無標題.jpg |
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wanfuping
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為確定專門用于測量LRM泡沫中支柱直徑的儀器(Gage ID: SEM / EDS)的精確度,進行了一次完整的量規(guī)R&R Type-2研究.這次研究是為了確定與測量技術相關的變量,我們有意分離出了諸如地點選擇(這個與操作者個人喜好相關的)和材料的內(nèi)在差異(樣本誤差)等因素.簡單地說,本測試中,三位評估者重復測量已存圖片(本例中,一個支柱就算一部分)中被標記的10個相同的支柱， 這些支柱是特意選擇的,能夠反應出LRM泡沫材料中支柱直徑的正態(tài)分布趨勢.利用Using Minitab® 16軟件和Xbar and R統(tǒng)計模型,那些反應測量技術特征的精確度指數(shù)都可計算得到,包括重復性誤差(儀器差異),再生誤差(評估者差異)以及綜合量規(guī)GR&R誤差. 本分析結(jié)果如下: 請讀者注意以上的表格,可以看到與重復性、再生性和綜合GR&R相關的one-sigma limits (1s)結(jié)果�？侴RR統(tǒng)計數(shù)值的廣義定義是為了提供一種方法來標定當考慮多操作者內(nèi)外誤差源時的綜合差異。通常來說，EV, AV,和GR&R的差異一般是5.15σ，可信度可以達到99%。5.15σ除以2，再重寫，就可以用± X誤差量來表示單獨差異部分。這就是說，當使用這種測量技術時，測量任何一個支柱直徑，99%的概率能得到相當于± 18.01μm的綜合重復性和再生性誤差值。或者說，這個指標表明，當正常、規(guī)范地使用這種方法操作，兩次單獨測量的差異在100次中只有一次會接近或是超過那個誤差值。 |
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yxwang2006
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