Application of fuzzy neural network for estimating the intensity of insulation aging of cable lines

The article considers the issues of forecasting the state of insulation of cable lines. It is shown that the insulation state is influenced by a large number of factors, some of which are indeterminate and can not be expressed in the quantitative form. It was proposed to use a fuzzy neural network f...

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Bibliographic Details
Published inIOP conference series. Earth and environmental science Vol. 288; no. 1; pp. 12060 - 12065
Main Authors Biryulin, V.I., Gorlov, A.N., Larin, O.M., Kudelina, D.V.
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.07.2019
Subjects
Aging
Artificial neural networks
Fuzzy logic
Insulation
Neural networks
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Summary:The article considers the issues of forecasting the state of insulation of cable lines. It is shown that the insulation state is influenced by a large number of factors, some of which are indeterminate and can not be expressed in the quantitative form. It was proposed to use a fuzzy neural network for predicting the state of insulation, which ensures processing both quantitative and qualitative information, which makes it possible to obtain more valid results, in comparison with the use of only quantitative information.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/288/1/012060