Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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On some problems of neural network technologies in electric components diagnosing

Telenyk S.1, Savchuk O.1, Pocrovskyi E.1, Morgal O.1, Krivenko K.1, Latash I.1
1 National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

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UDC: 004.93
Publication Language: English
Stuc. intelekt. 2017; 22(3-4):95-104

Abstract: The paper describes an idea of getting electric components diagnostic information and its transformation using the discrete Karhunen-Loeve expansion. Presorting of elements by their physical and technical states is proposed to operate with the MLP, self-organized and RBF- neural networks in the MATLAB environment. The paper investigates the possibility of using neural network technologies for improving electric components diagnosing by integral effects for increasing reliability of complex technological systems. The statistical and individual classification and presorting of elements according to their physical and technical states for work with the use of neural network technologies is proposed.

Keywords: neural network technologies; diagnosing; integral effects; electric components

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