On-Line Detection Distribution Strategy Research of Complex Surface Based on Bayesian Networks

Li Wen Yan; Qi Bao He

doi:10.4028/www.scientific.net/AMM.217-219.2575

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 217-219On-Line Detection Distribution Strategy Research...

On-Line Detection Distribution Strategy Research of Complex Surface Based on Bayesian Networks

Abstract:

Studying how to distribute the sampling points on processing surface has important practical significance on improving the detection quality and efficiency. So, this paper introduced Bayesian networks to the research of sampling points reasonable distribution, carried out Bayesian networks classifier learning of four typical sampling methods and the result obtained through analysis experimental and simulation data verify the feasibility of this method.

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Periodical:

Applied Mechanics and Materials (Volumes 217-219)

Pages:

2575-2579

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.217-219.2575

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Online since:

November 2012

Authors:

Li Wen Yan, Qi Bao He

Keywords:

Bayesian Networks Classifier, Complex Surface, Distribution Strategy

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References

[1] Fiona Zhao, Xun Xu, S.Q. Xie. Computer-Aided Inspection Planning-The state of the art [J]. Computers in Industry, 2009, 60:453-66

DOI: 10.1016/j.compind.2009.02.002

Google Scholar

[2] Yadong Li, Peihua Gu. Free-form surface inspection techniques state of the art review [J]. Computer-Aided Design, 2004,36: 1395-1417

DOI: 10.1016/j.cad.2004.02.009

Google Scholar

[3] Shuangcheng Wang. Learning, inference and application of Bayesian Networks[M]. Shanghai, Lixin Accounting Publisher, 2010(In Chinese)

Google Scholar

[4] Dongri Shan, Yingling Ke, Yunfeng Liu. Measurement path planning research of complex surface in reverse engineering [J], Chinese Mechanical Engineering, 2003, 14(1):9-13(In Chinese)

Google Scholar

[5] Fuyou Bai. Numerical control machine thermal error model study Based on Bayesian networks [D]. Master degree thesis of Zhejiang University, 2008 (In Chinese)

Google Scholar

[6] Lim EE, Menq C-H. The prediction of dimensional error for sculptured surface productions using the ball-end milling process, part 2: surface generation model and experimental verification[J]. Int J Mach Tool Manu, 1995, 35(8):1171-1185

DOI: 10.1016/0890-6955(94)00045-l

Google Scholar