Title :
Set-up an expert system for reluctance motor design
Author :
Miljavec, Damijan
Author_Institution :
Fac. of Electr. Eng., Ljubljana Univ., Slovenia
Abstract :
The main subject of this paper is to investigate the possibility of using an artificial neural network (ANN) to build up an expert system for synchronous reluctance rotor design. Different learning and testing data were prepared by finite element analyses for ANN learning. Also, the applications of different ANN types and learning algorithms are discussed
Keywords :
electric machine analysis computing; expert systems; finite element analysis; learning (artificial intelligence); neural nets; reluctance motors; rotors; artificial neural network; expert system; finite element analyses; learning algorithms; reluctance motor design; synchronous reluctance rotor design; Artificial neural networks; Expert systems; Finite element methods; Magnetic flux density; Neural networks; Reluctance machines; Reluctance motors; Rotors; Stator windings; Synchronous motors;
Conference_Titel :
Electrotechnical Conference, 1998. MELECON 98., 9th Mediterranean
Conference_Location :
Tel-Aviv
Print_ISBN :
0-7803-3879-0
DOI :
10.1109/MELCON.1998.699432
