Method of identification of electrical motor with the use of neural networks
Problemy fiziki, matematiki i tehniki, no. 3 (2013), pp. 97-99
Cet article a éte moissonné depuis la source Math-Net.Ru
Different kinds of malfunction or damage of the parts may occur in the operation of electrical equipment. It is therefore very important to detect defects in the early stages. The paper presents the method of identification of electrical equipment on the basis of the analysis of the products current. The results of experimental tests are given.
Mots-clés :
identification, spectral noise
Keywords: high harmonic, neural network.
Keywords: high harmonic, neural network.
@article{PFMT_2013_3_a16,
author = {D. I. Kuznetsov and A. I. Kupin},
title = {Method of identification of electrical motor with the use of neural networks},
journal = {Problemy fiziki, matematiki i tehniki},
pages = {97--99},
year = {2013},
number = {3},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/PFMT_2013_3_a16/}
}
D. I. Kuznetsov; A. I. Kupin. Method of identification of electrical motor with the use of neural networks. Problemy fiziki, matematiki i tehniki, no. 3 (2013), pp. 97-99. http://geodesic.mathdoc.fr/item/PFMT_2013_3_a16/
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