丝网印刷室内污染评价中的非线性相关模型

J. Kiurski, I. Oros
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引用次数: 3

摘要

作为我们之前研究的延伸,我们应用相关模型来评估臭氧浓度与采样时间和采样点的相互依赖性。没有显著的相互依赖性,但与采样时间有一些可观察到的线性和非线性相关。臭氧浓度与采样时间在两个采样点(6和5)呈线性相关关系,在采样点6为y = - 0.0171x + 0.1329。在其他采样点(1和3),非线性相关性用三次多项式表示,y = 0.0061x 3 - 0.0934x 2 + 0.4335x + 0.0967(采样点1),y = 0.0035x 3 - 0.0520x 2 + 0.2182x + 0.9887(采样点3)。所有计算都在7.0版的MATHEMATICA程序中以正确的4位小数完成。将非线性相关模型成功地应用于丝网印刷设备室内污染气体分布的评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nonlinear Correlation Model in the Assessment of Screen Printing Indoor Pollution
The correlation models were applied to assess the mutual dependencies of the ozone concentrations on the sampling time and sampling points as an extension of our previous investigations. There is no significant mutual dependence, but there are some observable linear and non-linear correlations with sampling time. Correlation of ozone concentration on sampling time is linear at two sampling points (6 and 5) and is expressed by equation: y = - 0.0171x + 0.1329 for sampling point 6. At the other sampling points (1 and 3) nonlinear correlations are expressed by third degree polynomials, y = 0.0061x 3 - 0.0934x 2 + 0.4335x + 0.0967 (sampling point 1), y = 0.0035x 3 - 0.0520x 2 + 0.2182x + 0.9887 (sampling point 3). All calculations have been done in the program MATHEMATICA, version 7.0, at 4 correct decimals. Nonlinear correlation model can be successfully used in the assessment of indoor polluted gases distribution in screen printing facility.
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