Support Vector Machine-Based Method for Quality Characteristic Modeling


Article Preview

Root-cause identification and product quality characteristic modeling are key issues for improving product quality and the productivity of manufacturing process. The quality characteristic model, which indicates the influence of the dominate root-causes on the product quality characteristic, is the basis for quality control. In this paper an approach for quality characteristic modeling based on Support Vector Machine is presented. The selections of parameters and the Kernel function are discussed. The presented approach is applied for analyzing and predicting the quality of inertial gyroscope.



Edited by:

Kai Cheng, Yingxue Yao and Liang Zhou




J. Liu et al., "Support Vector Machine-Based Method for Quality Characteristic Modeling", Applied Mechanics and Materials, Vols. 10-12, pp. 253-257, 2008

Online since:

December 2007





[1] M. Chang and D.C. Gossard: Int.J. Prod. Res., vol. 36 (1998), pp.2985-2995.

[2] Y. Ding, D. Ceglarek, and J. Shi: ASME, J. Manufact. Sci. Eng., vol. 124 (2002), pp.313-322.

[3] Y. Ding, D. Ceglarek and J. Shi: Flexible Automation, Ann Arbor, MI, (2000).

[4] S. Zhou, Q. Huang, and J. Shi: IEEE Trans. Robot. Automat, vol. 19 (2003), pp.296-309.

[5] Vladimir N. Vapnik: New York: Springer-Verlag, (1995).

[6] Burges C J C: Data Mining and Knowledge Discovery, (1998).

[7] C.W. Hsu, C.C. Chang and C.J. Lin: A Practical Guide to Support Vector Classification, Department of Computer Science and Information Engineering National Taiwan University.