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基于Matlab和回归分析的平面度评定方法

Method of Planeness Assess Based on Matlab and Regression Analysis

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【作者】 周剑平

【Author】 ZHOU Jian-ping (Dept. of Machine & Power, Huangshi Institute of Technology, Huangshi 435003, China)

【机构】 黄石理工学院机电学院 湖北黄石435003

【摘要】 基于Matlab和回归分析的平面度评定方法,首先利用回归分析方法和最小二乘法建立被测实际表面的数学模型,然后利用Matlab最小二乘优化函数lsqnonlin求得基准平面方程,最后求两侧实测点到基准平面的最大距离,则两个最大距离之和即为平面度误差。若误差值小于公差值,则平面度合格。

【Abstract】 The method of planeness assess based on Matlab and regression analysis is that the mathematic model of the measured actual surface was set up by using regression analysis method and the least square method. Then the equation of the reference plane was solved by the lsqnonlin function in Matlab optimization toolbox. At last, the large distances between measured points to the reference plane was found, the sum of two distances is the flatness. If the flatness is less than the tolerance, the flatness is qualified.

  • 【文献出处】 兵工自动化 ,Ordnance Industry Automation , 编辑部邮箱 ,2006年01期
  • 【分类号】TP391.7
  • 【被引频次】10
  • 【下载频次】480
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