Application of stepwise multiple regression to design optimization of electric machine

Shimpei Sonoda, Yasuhito Takahasi, Kenji Kawagishi, Naoki Nishida, Shinji Wakao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish
Title of host publication12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
DOIs
Publication statusPublished - 2006 Nov 21
Event12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 - Miami, FL, United States
Duration: 2006 Apr 302006 May 3

Publication series

Name12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006

Conference

Conference12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006
CountryUnited States
CityMiami, FL
Period06/4/3006/5/3

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Sonoda, S., Takahasi, Y., Kawagishi, K., Nishida, N., & Wakao, S. (2006). Application of stepwise multiple regression to design optimization of electric machine. In 12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006 [1632920] (12th Biennial IEEE Conference on Electromagnetic Field Computation, CEFC 2006). https://doi.org/10.1109/CEFC-06.2006.1632920