DocumentCode
1960771
Title
Application of Stepwise Multiple Regression to Design Optimization of Electric Machine
Author
Sonoda, Shimpei ; Takahashi, Y. ; Kawagishi, Kenji ; Nishida, Naoki ; Wakao, Shinji
Author_Institution
Dept. of Electr. Eng., Waseda Univ., Tokyo
fYear
0
fDate
0-0 0
Firstpage
128
Lastpage
128
Abstract
This paper proposes the variables screening technique based on the stepwise multiple regression in multi-objective 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; regression analysis; electric machine; machine performance; multiobjective design optimization; stepwise multiple regression; variables screening technique; Algorithm design and analysis; Design optimization; Electric machines; Evolutionary computation; Machinery; Permanent magnet motors; Simulated annealing; Superconducting magnets; Superconductivity;
fLanguage
English
Publisher
ieee
Conference_Titel
Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
Conference_Location
Miami, FL
Print_ISBN
1-4244-0320-0
Type
conf
DOI
10.1109/CEFC-06.2006.1632920
Filename
1632920
Link To Document