Independent component analysis based on machining error separation

被引：0
|
作者：
Zhang F.-P. [1 ]
Wu D. [1 ]
Zhang T.-G. [1 ]
Zhang L.-Y. [1 ]
Yang J.-B. [1 ]
机构：
[1] School of Mechanical Engineering, Beijing Institute of Technology, Beijing
来源：
Binggong Xuebao/Acta Armamentarii | 2016年 / 37卷 / 09期
关键词：
Error propagation model; Error separation; Error source; Independent component analysis; Manufacturing technology and equipment; Principal component analysis;
D O I：
10.3969/j.issn.1000-1093.2016.09.020
中图分类号：
O212 [数理统计];
学科分类号：
摘要：
For the unsuccessful separation of the multiple systematic errors with similar scales by current machining error separation method, a new method to separate the machining errors is proposed based on independent component analysis. An error transfer model is built to describe the relationship between the systematic error caused by individual error source and the final systematic error measured from the machining surface. Then according to the theory of blind signal separation, an optimization model is used for the machining error separation where the negative entropy of the estimated error is used as the optimization objective function, and the fixed point algorithm is used as the optimization method. A method to determine the number of machining error sources is also given by means of the principal component analysis. A study case of a certain gyroscope surface is tested to verify the efficiency of the error separation method. The proposed method provides a new way for separation of machining errors and tracing of error sources. © 2016, Editorial Board of Acta Armamentarii. All right reserved.
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页码：1692 / 1699
页数：7
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