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非连续曲面动态测量中异常数据的灰色理论判别法
引用本文:石照耀,祝连庆,董明利.非连续曲面动态测量中异常数据的灰色理论判别法[J].北京工业大学学报,2003,29(1):15-18.
作者姓名:石照耀  祝连庆  董明利
作者单位:1. 北京工业大学,机械工程与应用电子技术学院,北京,100022
2. 北京机械工业学院,机电学院,北京,100085
摘    要:针对非连续曲面测量中易产生异常数据,数据样本不大等特点,引入一种改良型灰色模型,结合鲁棒性较好的最小一乘法,提出了非连续曲面动态测量中异常数据的灰色理论判别法;给出了全部算式及判别准则,并根据滚刀啮合误差的实测数据进行了验证计算。

关 键 词:动态测量  异常数据  灰色理论
文章编号:0254-0037(2003)01-0015-04
修稿时间:2002年7月5日

Grey Detection and Replacement of Unwanted Asperities in Dynamic Measurement of Discontinuous Curves
SHI Zhao-yao,ZHU Lian-qing,DONG Ming-li.Grey Detection and Replacement of Unwanted Asperities in Dynamic Measurement of Discontinuous Curves[J].Journal of Beijing Polytechnic University,2003,29(1):15-18.
Authors:SHI Zhao-yao  ZHU Lian-qing  DONG Ming-li
Abstract:How to detect and remove unwanted asperities is a critical problem in the dynamic measurement Measurement of discontinuous curves is the dynamic measurement of discrete points, and results frequently in unwanted asperities. Meanwhile, the measurement sample is not big. Based on the features of the grey theory, a modified Grey Model is introduced to approach the measurement data. Combined with the robust minimum deviation principle, a method using grey theory to detect unwanted asperities in the dynamic measurement is studied. All the equations and the distinguishing criterion are given.
Keywords:dynamic measurement  unwanted asperity  grey theory
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