基于筛选试验的设计因素贡献率分析

发布时间：2018-08-19 14:31

【摘要】：筛选试验常采用二水平部分因子试验,对试验数据的处理采用方差分析的方法,其结论没有定量的指出各因素对结果影响的大小;针对这一问题,文章对因素的离差平方和作进一步分解,结果显示,因素的离差平方和包含该因素所引起的离差平方和以及一部分误差引起的离差平方和两部分内容。在因素的离差平方和中扣除误差引起的离差平方和,其余部分就是该因素引起的纯离差平方和,纯离差平方和在总离差平方和中所占的百分比即为该因素对试验结果的贡献率。最后,以往复泵的设计因素分析为例,对这一方法进行了说明。
[Abstract]:Two level partial factor test is often used in screening test, and ANOVA is used to deal with the test data. Its conclusion does not indicate quantitatively the influence of each factor on the result. In this paper, the sum of deviation squared of factors is further decomposed. The result shows that the sum of square of deviation of factors includes the sum of square of deviation caused by this factor and the sum of square of deviation caused by some errors. The sum of square of deviation caused by error is deducted from the sum of square of deviation of factor, and the other part is the sum of square of net deviation caused by this factor. The percentage of sum of square of net deviation in total sum of square of deviation is the contribution rate of this factor to the result of experiment. Finally, the design factor analysis of reciprocating pump is taken as an example to illustrate this method.
【作者单位】：贵州大学现代制造技术教育部重点实验室;贵州大学机械工程学院;
【基金】：国家自然科学基金资助项目(71161006)
【分类号】：O212.6

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