DocumentCode :
2116376
Title :
Artificial neural network based induction motor design
Author :
Hiyama, Takashi ; Ikeda, Masahiro ; Nakayama, Takaaki
Author_Institution :
Dept. of Electr. & Comput. Eng., Kumamoto Univ., Japan
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
264
Abstract :
This paper presents an artificial neural network based designing for induction motors. Based on the actual design data for various types of induction motors, three-layered artificial neural networks have been trained to give better solutions for the fundamental quantities and parameters of individual induction motor. After training, selected quantities have been estimated quite accurately from the input data which is the specification of an individual induction motor. The proposed neural network based designing system is efficient to reduce the designing process and also to have the near optimal design in a restricted time period without expert designer´s knowledge
Keywords :
electric machine CAD; induction motors; learning (artificial intelligence); neural nets; artificial neural network; designing process reduction; induction motor; induction motor design; input data; near optimal design; neural network training; three-layered artificial neural networks; AC motors; Artificial neural networks; Design engineering; Frequency estimation; Induction motors; Neural networks; Nonlinear equations; Process design; Rotors; Senior members;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Society Winter Meeting, 2000. IEEE
Print_ISBN :
0-7803-5935-6
Type :
conf
DOI :
10.1109/PESW.2000.849968
Filename :
849968
Link To Document :
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