The study of robust design GLM of second-order response surface in noise factors

Author

Zhang, Sumei

Author_Institution

Dept. of Appl. Math., Xi´´an Univ. of Post & Telecommun., Xi´´an, China

fYear

2010

fDate

15-16 Nov. 2010

Firstpage

43

Lastpage

45

Abstract

The purpose of this paper was to provide a method for disposing response surface with residual error heterogeneity by accommodating generalized linear modeling. The approach of Jan Engel and A. Freek Huele was taken as a starting point, treating noise variance as fixed effects. It was, however, assumed that process variability was caused by not only by the linear effects of noise factors but also by the reaction effects between noise factors. Therefore, a model of second-order response surface in noise factors is established. The model is fitted by iteratively reweighted least squares. Moreover, the paper discusses the model´s statistics analysis and test of hypothesis.

Keywords

Taguchi methods; iterative methods; least squares approximations; noise; response surface methodology; statistical analysis; Taguchi robust design method; generalized linear modeling; iteratively reweighted least squares; noise factors; noise variance; process variability; residual error heterogeneity; robust design GLM; second-order response surface; statistics analysis; Analytical models; Computational modeling; Data models; Noise; Response surface methodology; Robustness; Surface treatment; GLM; noise factors; robust design; second-order response surface;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-1-4244-6791-4

Type

conf

DOI

10.1109/ISKE.2010.5680791

Filename

5680791