DocumentCode :
405086
Title :
Investigation on optimization design for electromagnetic device using ANN
Author :
Yundong, Cao ; Xiaoming, Liu ; Dong, Liu ; Chunguang, Hou
Author_Institution :
Coll. of Electr. Eng., Shenyang Univ. of Technol., China
Volume :
2
fYear :
2003
fDate :
9-11 Nov. 2003
Firstpage :
794
Abstract :
A combination of artificial neural networks (ANN) and the electric field analysis is applied to solve the inverse problem of electric field in this paper. Taking the high nonlinear approaching ability of ANN and the numerical analysis of electromagnetic field into consideration, the inverse problem of electric field for the demonstration examples has been solved. And the optimized contour of electrode for high voltage circuit breaker has been achieved. From the calculation results, it can be seen that the proposed method is feasible and valid.
Keywords :
circuit breakers; electrodes; electromagnetic devices; electromagnetic fields; neural nets; numerical analysis; optimisation; ANN; artificial neural networks; circuit breaker; electric field analysis; electrode; electromagnetic device; electromagnetic field; nonlinear approaching; numerical analysis; optimization design; Artificial neural networks; Computational modeling; Computer errors; Design optimization; Electrodes; Electromagnetic devices; Inverse problems; Neurons; Optimization methods; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems, 2003. ICEMS 2003. Sixth International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
7-5062-6210-X
Type :
conf
Filename :
1274168
Link To Document :
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