Support vector machine-based method for quality characteristic modeling

被引：0
|
作者：
Liu, J. [1 ]
Xu, L. J. [1 ]
Lin, Z. H. [1 ]
机构：
[1] Xi An Jiao Tong Univ, State Key Lab Mfg Syst Engn, Xian 710049, Peoples R China
来源：
E-ENGINEERING & DIGITAL ENTERPRISE TECHNOLOGY | 2008年 / 10-12卷
关键词：
root-cause identification; quality characteristic modeling; Support Vector Machine (SVM);
D O I：
10.4028/www.scientific.net/AMM.10-12.253
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
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.
引用
收藏
页码：253 / +
页数：2
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