FUZZY VERSUS NEURAL NETWORK MAGNETIC MODEL IN IRON LOSSES PREDICTION

Marinel Temneanu, Traian Balan, Dana Balan, Cristina Temneanu

Abstract

This paper emphasis the possibility to use both fuzzy and neural network based magnetic models in the prediction of the iron losses. The predictions are compared to the measured output for different magnetic materials and induction waveforms. Comparable results have been obtained proving the capacity of both techniques to describe the complex magnetic behavior of the materials being tested.

Keywords

Fuzzy, neural network, magnetic model

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IMEKO-TC4-2002-110.pdf

DOI

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IMEKO TC

TC4 - Measurement of Electrical Quantities

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