Title :
Application of Stepwise Multiple Regression to Design Optimization of Electric Machine
Author :
Sonoda, Shimpei ; Takahashi, Yasuhito ; Kawagishi, Kenji ; Nishida, Naoki ; Wakao, Shinji
Author_Institution :
Waseda Univ., Tokyo
fDate :
4/1/2007 12:00:00 AM
Abstract :
This paper proposes the variables screening technique based on the stepwise multiple regression in multiobjective design optimization. This approach enables us to efficiently select the design variables that have a sufficient effect on machine performance. Some numerical results that demonstrate the validity of the proposed method are also presented
Keywords :
design engineering; electric machines; numerical analysis; regression analysis; electric machine design optimization; multiobjective design optimization; stepwise multiple regression; variables screening techniques; Computational efficiency; Design methodology; Design optimization; Electric machines; Finite element methods; Flowcharts; Genetic algorithms; Machinery; Optimization methods; Regression analysis; Multiobjective design; optimization methods; stepwise multiple regression;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2006.892225
