.../methodology/approach A multi-objective optimization is performed by means of artificial neural network and non-sorting genetic algorithm II to minimize the cogging torque while preserving the average torque. Findings A comparative study between two proposed machines and the conventional flux-switching...

...Wojciech Pietrowski Purpose Diagnostics of electrical machines is a very important task. The purpose of this paper is the presentation of coupling three numerical techniques, a finite element analysis, a signal analysis and an artificial neural network, in diagnostics of electrical machines...

... Artificial neural networks Harmonics Neural networks Electromagnetic compatability The development in power electronics has significantly grown its applications in power system and distribution system. These power electronic devices such as switched mode power supplies, printers, computers...

...Prof. Norio Takahashi; Sami Bedra; Siham Benkouda; Tarek Fortaki Purpose – The paper aims to propose an artificial neural network (ANN) in conjunction with spectral domain formulation for fast and accurate determination of the resonant frequency and quality factor of circular microstrip antenna...

... of this paper is presentation of coupling two numerical techniques, a finite element analysis and an artificial neural network, in diagnostics of electrical machines. Design/methodology/approach A finite element method (FEM) analysis and time‐stepping are applied for the study of IM with stator winding...

...Yakup Demir; Ayşegül Uçar Recently, the modelling and simulation of switched systems containing new nonlinear components in electronics and power electronics industry have gained importance. In this paper, both feed‐forward artificial neural networks (ANN) and adaptive network‐based fuzzy inference...

...K.L. Lo; W.P. Luan; M. Given; M. Bradley; H.B. Wan Automatic contingency selection aims to quickly predict the impact of a set of next contingencies on an electric power system without actually performing a full ac load flow. Artificial neural network methods have been employed to overcome...

... of the proposed control scheme. © MCB UP Limited 2000 Artificial neural networks Control The authors are grateful to Professor Xiaoxin Zhou, Chief Engineer of EPRI in China, for providing the software package, PSASP. The current issue and full text archive of this journal is available...

... effects or long computation time. In this paper, an artificial neural network method is proposed for voltage ranking. Counterpropagation network (CPN) has been employed to overcome the problems listed above. A variety of input features are used with the aim of lowering the dimension of the proposed ANN...

.... In this paper we present a method for obtaining a solution of inverse problems, in which the parameters of defects are unknown and the excitation function and the eddy current system response are given. The method is based on the use of artificial neural networks, which are trained using measurements...