期刊文献+

圆度误差评定中的一种新的删点技术 被引量:3

A new technology to delete sample datum in the process of evaluating roundness error
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摘要 在圆度误差评定过程中 ,针对以往几种方法对采样点数据筛选过程中可能出现的误删和错删现象 ,本文提出一种新的删点技术 ,即采用凸壳理论实现对特征点的筛选 ,其实质是将寻找特征点的问题转化为求解壳顶点的问题 ,利用凸多边形的几何不变性来确保删点结果的准确性和唯一性 ,并大大简化运算过程和提高运算速度 ,经过与实测结果的对比分析 ,证明了本文提出的删点技术正确可行 . Contrast to the several traditional methods that maybe cause to delete sample datum incorrectly,the paper puts forward a new technology to delete datum that uses convex hull theory to get the characteristic datum in the process of evaluating roundness error.The new method transforms searching the characteristic data to seeking the vertex of the convex hull.The algorithm takes advantage of the geometric stablility of convex polygon to ensure the precise and unity of calculation result,simplifies calculating processes and improves the calculating speed greatly. At the same time,the measuring experiment testifies the correctness and feasibility of the delete technology in the paper.
作者 王丽 王建华
出处 《西安工业学院学报》 2002年第3期193-199,共7页 Journal of Xi'an Institute of Technology
关键词 圆度误差评定 凸壳理论 几何不变性 删点技术 evaluating roundness error datum deleting convex hull theory geometric stablility
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参考文献2

  • 1范建裕 赵卓贤.形位误差测量和评定中的采样与删点技术.几何量精密测量论文选集(全国高校互换性与测量技术研究会第二届年会)[M].北京:中国计量出版社,1988..
  • 2F P普雷帕拉塔 庄心谷(译).计算几何导论[M].北京:科学出版社,1988..

同被引文献29

  • 1卢巧明.按最小区域法评定圆度误差的优化算法[J].工业计量,2003,13(S1):153-154. 被引量:1
  • 2唐宇慧.圆度误差检测的现状与展望[J].机床与液压,2004,32(11):6-8. 被引量:23
  • 3温秀兰,赵茜.基于进化策略的平面度误差评定[J].仪器仪表学报,2007,28(5):832-836. 被引量:16
  • 4Jyunping H. An Exact Solution for the Roundness Evaluation Problems[J]. Precision Engineering, 1999, 23(1):2.
  • 5Olivier Devillers, Franco P Preparata. Culling a Set of Points for Roundness or Cylindricity Evaluations[J]. International Journal of Computational Geometry Applications, 2003,13(2) : 231.
  • 6Roy U, Zhang X. Development and Application of Voronoi Diagrams in the Assessment of Roundness Error in an Industrial Environment[J]. Computers Industrial Engineering, 1994,20 (1) : 11.
  • 7FORBES A. Least-squares best-fit geometrical elements[D]. Middlesex, UK : National Physical Laboratory, 19 91.
  • 8NASSEF A O, E1MARAGHY H A. Determination of best objective function for evaluating geometric deviations[J]. In- ternational Journal of Advanced Manufacturing Technology,1999,15(2), 90-95.
  • 9SHAKARJI C M, Least-squares fitting algorithms of the NIST algorithm testing system[J]. Journal of Research of the National Institute of Standards and Technology, 1998 (6): 633-641.
  • 10GASS S I, WITZGALL C. On an approximate minimax circle closest to a set of points[J]. Journal of Computers and Opera- tions Research, 2004,31 (2) : 637-643.

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