| 无心内圆磨削质量控制的时序建模方法 |
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| 引用本文： | 陈中春,陈志祥.无心内圆磨削质量控制的时序建模方法[J].华中科技大学学报(自然科学版),1987(2). |
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| 作者姓名： | 陈中春 陈志祥 |
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| 作者单位： | 华中工学院机械工程一系
(陈中春)，华中工学院机械工程一系(陈志祥) |
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| 摘 要： | 本文就如何建立合适的无心内圆磨削工序在线X-R质量控制的AR(n)模型进行了探讨.运用自现场采集得的轴承内圈内孔精磨后的工件尺寸数据建立时间序列模型.文中还对建模时采用的数据长度和适用模型的检验标准作了深入的探讨,提出了用AR(n)模型的临界残差方差函数来确定适用模型的残差极限.
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| 关 键 词： | 质量控制 内圆磨削 无心磨削 数学模型 自回归模型 临界残差方差 |
Modelling on Operation Quality Control |
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| Chen Zhongchun Chen Zhixiang.Modelling on Operation Quality Control[J].JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE,1987(2). |
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| Authors: | Chen Zhongchun Chen Zhixiang |
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| Institution: | Chen Zhongchun Chen Zhixiang |
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| Abstract: | This paper discusses the fitting of an AR (n) model for the x -R quality control of an operation in inteinal centerless grinding. Auto-covariance analysis is carried out for the data collected from shop floor. The results show that the dimension error of components is dependent on the grinding wheel wear and the frequency of the changing wheel.Several AR(n)models are fitted by different numbers of data of Xj and Rj. These models are checked with Akiake's BIC and minimum residual variance criterion. Investigation results show that (1) the number of fitting model data of xj(or Rj) should not be smaller than 20; (2) the minimum residual variance criterion is more suitable than BIC criterion for the grinding process quality control.A critical residual variance function al is given for checking the adaptability of the AR (n) model. |
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| Keywords: | Quality control Internal cylindrical grinding Centerless grinding Mathematical models Autoregressive models Critical residue Variance |
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