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

International Scientific and Practical Conference: Water Power Energy Forum 2018

Biryulin, V.I.^1 ; Gorlov, A.N.^2 ; Larin, O.M.^3 ; Kudelina, D.V.^4

Soyuznaya 69b, 36, Kursk

305009, Russia^1

Teatralnaya 78A, 10, Kursk

305009, Russia^2

Profsoyuznaya 3, 1, Kursk

305009, Russia^3

Schepkina 11, 141, Kursk

305016, Russia^4

关键词: Cable lines;    Insulation aging;    Number of factors;    Qualitative information;    Quantitative information;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/288/1/012060/pdf
DOI  :  10.1088/1755-1315/288/1/012060

来源: IOP

【 摘 要 】

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.