Work

Artificial Neural Network Models of Cross-linked Polyethylene

Year: 2024

Type: article

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.

Source: Trakya Üniversitesi Mühendislik Bilimleri Dergisi

DOI: 10.59314/tujes.1598718

Authors: Rabia Korkmaz Tan, Hakan Çanta, Reşat Mutlu

Institution: Tekirdağ Namık Kemal University

Language: English

Topic: High voltage insulation and dielectric phenomena

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W4405701682

FWCI: 0.192

Cites: 4

Cited by: 2

Related to: 10