ARTIFICIAL NEURAL NETWORK MODELS OF CROSS-LINKED POLYETHYLENE

Authors : Rabia Korkmaz Tan, Hakan Çanta, Reşat Mutlu

Pages : 129-141

Doi:10.59314/tujes.1598718

View : 63 | Download : 89

Publication Date : 2024-12-30

Article Type : Research Paper

Abstract :Cross-linked polyethylene (XLPE) is the most widely used insulator material in high-power cables. The complex electrical permittivity of the XLPE layer mostly determines the leakage admittance of the cable and the propagation speed of the signal. The complex electrical permittivity of XLPE depends on not only operating frequency but also temperature. In this study, Artificial neural networks (ANNs) are used to model the complex electrical permittivity parts of the XLPE. The structure of the ANNs is optimized. It has been found that the optimized ANN can predict the behavior of the XLPE with an R2 value of 0.99.
Keywords : Yüksek gerilim kabloları, Yalıtım modelleri, Çapraz bağlı polietilen, YSA modeli, Parametre tahmini