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 :
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