基于侧向连接Sanger算法实现微钻头棱边投影的拟合

葛动元; 姚锡凡; 向文江

doi:10.3788/OPE.20111903.0567

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基于侧向连接Sanger算法实现微钻头棱边投影的拟合

微纳技术与精密机械 | 更新时间：2020-08-12

- 基于侧向连接Sanger算法实现微钻头棱边投影的拟合
- Fitting margin projection of micro-drill based on Sanger algorithm with lateral connection
- 光学精密工程 2011年19卷第3期页码：567-572
- 作者机构：
  
  1. 华南理工大学机械与汽车工程学院,广东广州 510640
  2. 邵阳学院机械与能源工程系,邵阳湖南 422004
- 作者简介：
- 基金信息：
  
  国家863高技术研究发展计划资助项目 (No.2007AA04Z111),湖南省教育厅重点资助项目(No.07A062),湖南省自然科学基金资助项目(No.09JJ60
- DOI：10.3788/OPE.20111903.0567
  中图分类号： TB92;TP391
- 收稿日期：2010-05-05，
  
  修回日期：2010-06-28，
  
  网络出版日期：2011-03-22，
  
  纸质出版日期：2011-03-22
- 稿件说明：
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葛动元, 姚锡凡, 向文江. 基于侧向连接Sanger算法实现微钻头棱边投影的拟合[J]. 光学精密工程, 2011,19(3): 567-572

GE Dong-yuan, YAO Xi-fan, XIANG Wen-Jiang. Fitting margin projection of micro-drill based on Sanger algorithm with lateral connection[J]. Editorial Office of Optics and Precision Engineering, 2011,19(3): 567-572
葛动元, 姚锡凡, 向文江. 基于侧向连接Sanger算法实现微钻头棱边投影的拟合[J]. 光学精密工程, 2011,19(3): 567-572 DOI： 10.3788/OPE.20111903.0567.

GE Dong-yuan, YAO Xi-fan, XIANG Wen-Jiang. Fitting margin projection of micro-drill based on Sanger algorithm with lateral connection[J]. Editorial Office of Optics and Precision Engineering, 2011,19(3): 567-572 DOI： 10.3788/OPE.20111903.0567.

摘要

针对微钻头的圆角、外径等的检测

研究了微钻头棱边投影的拟合方法。首先

采用印刷电路板(PCB)微钻头高精度自动化检测系统采集图像。在对微钻头棱边投影的椭圆方程进行拟合时

以采样点坐标的组合矢量坐标到超平面距离的平方和为目标函数。然后

根据求解目标

设计一个有侧向连接的Sanger网络

以采样点坐标组成的矢量坐标为Sanger网络的输入。最后

采用自适应次分量的提取方法

以自相关矩阵的最小特征值所对应的特征向量为超平面的拟合系数

即椭圆方程拟合系数

得到微钻头的圆角、外径等技术指标。这种自适应Sanger网络在工件形状误差检测中的应用方法能满足微钻头检测的精度要求。

Abstract

To measure the rounded corner and diameter of a micro-drill

the fitting of the elliptical equation for margin projection of the micro-drill was researched.Firstly

the margin projective image was collected with a high precise automatic test system of PCB micro-drill. While the elliptical equation of margin projection of micro-drill was fitted

the sum of square distance from the sample points vector coordinates to the hyperplane determined by the elliptical coefficients was taken as an objective function. Then

a Sanger neural network with lateral connection was designed

in which the input signal were vector coordinates composed of sample points.Finally

on the basis of an adaptive minor component extracting method

the eigenvector of minimum eigen values was taken as the fitted coefficients of the hyperplane

i.e.

fitted elliptical coefficients

and the rounded corner and diameter of the micro-drill were obtained. The proposed approach can meet the precision requirements of micro-drill testing

and is a novel application of adaptive Sanger network to measuring shape errors.

关键词

Keywords

references

TIEN F C, YEH C H, HSIEH K H. Automated visual inspection for micro-drills in printed circuit board production [J]. International Journal of Production Research, 2004, 2(12):2477-2495.[2] 胡松立,许黎明,许开州,等. 微钻刃面图像边缘角点自适应提取方法[J]. 上海交通大学学报, 2009,43(5):825-829. HU S L, XU L M, XU K Z, et al.. Adaptive contour corner detection of micro-drills first facet [J]. Journal of Shanghai Jiaotong University, 2009,43(5):825-829.(in Chinese)[3] 胡松立. 基于机器视觉的PCB微钻几何参数精密检测技术研究 . 上海交通大学, 2009:27-43. HU S L. Machine Vision Based Precise Detection of PCB Micro-Drills Geometry Parameters . Shanghai Jiao Tong University,2009:27-43.[4] 李秀明, 石照耀. 圆度误差评定的曲率法研究 [J]. 计量学报, 2008, 29(2):102-105. LI X M, S Z Y. An evaluation method for the roundness error based on curvature [J]. Acta Metrologica Sinica, 2008,29(2):102-105.[5] 崔长彩, 黄富贵, 张认成, 等. 粒子群优化算法及其在圆柱度误差评定中的应用[J]. 光学精密工程, 2006,14(2):1013-1017. CUI CH C, HUANG F G, ZHANG R CH, et al.. Research on cylindricity evaluation based on the Particle Swarm Optimization [J]. Opt. Precision Eng.,2006, 14(2): 1013-1017. (In Chinese)[6] 吴福朝, 李华, 胡占义. 基于主动视觉系统的摄像机自标定方法研究[J]. 自动化学报, 2001,27(6):752-762. WU F C, LI H, HU Z Y. New active vision based camera self-calibration technique [J]. Acta Automatica Sinica, 2001, 27(6):752-762. (in Chinese)[7] 张舞杰,杨义禄,李迪. 自动影像测量系统关键算法 [J]. 光学精密工程, 2007,15(2):294-301. ZHANG W J, YANG Y L, LI D, et al.. Key algorithms of automatic image measurement system [J]. Opt. Precision Eng., 2007, 15(2):294-301. (in Chinese)[8] 葛动元, 姚锡凡. 基于瑞利原理摄像机标定的精度研究[J]. 计量学报, 2009,30(1):11-15. GE D Y, YAO X F. Precision of camera calibration based on rayleigh principle [J]. Acta Metrologica Sinica, 2009,30(1):11-15. (in Chinese)[9] SANGER T D. Optimal Unsupervised Learning in a Single-Layer Linear Feedforward NN[J]. Neural Networks, 1989(2):459-473.[10] KUNG S Y. DIAMANTARAS K L. A Neural Network Learning Algorithm for Adaptive Principal Component Extraction(APEX) . Proc. IEEE Int. Conf. Acoustics, Speech, Signal Process.Piscataway: IEEE press, 1990, 861-864.[11] PALMIERI F, ZHU J. Self-Association and Hebbian Learning in Linear Neural Networks [J]. IEEE Trans. Neural Networks, 1995,6(5):1165-1184.[12] 王海涌, 费峥红, 王新龙. 基于高斯分布的星像点精确模拟及质心计算 [J]. 光学精密工程, 2009, 17(7):1672-1677. WANG H Y, FEI ZH H, WANG X L. Precise simulation of star sports and centroid calculation based on Gaussian distribution [J]. Opt. Precision Eng., 2009,17(7):1672-1677.[13] 葛动元,姚锡凡,向文江. BP神经网络在麻花钻圆度误差检测中的应用[J]. 武汉科技大学学报, 2009,32(4):413-417. GE D Y, YAO X F, XIANG W J. Application of BP neural network for measurement of twist-drill circularity errors [J]. Journal of Wuhan University of Science and Technology, 2009,32(4):413-417. (in Chinese)[14] 向文江,姚锡凡,葛动元. BP神经网络在麻花钻主切削刃直线拟合中的应用[J]. 机床与液压, 2010,38(3):21-24. XIANG W J, YAO X F, GE D Y. Application of BP neural network in linear fitting of twist-drill main lips [J]. Machine Tool & Hydraulics, 2010,38(3):21-24. (in Chinese)

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