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ARTIFICIAL NEURAL NETWORK MODELS OF CROSS-LINKED POLYETHYLENE

Cilt: 25 Sayı: 2 30 Aralık 2024
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ARTIFICIAL NEURAL NETWORK MODELS OF CROSS-LINKED POLYETHYLENE

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

Power cables , Insulation models , Cross-linked polyethylene , ANN model , Parameter prediction

Kaynakça

  1. Arikan, O., Uydur, C. C., & Kumru, C. F. (2022). Prediction of dielectric parameters of an aged MV cable: A comparison of curve fitting, decision tree and artificial neural network methods. Electric Power Systems Research, 208, 107892. https://doi.org/10.1016/j.epsr.2022.107892
  2. Ashok, N., Soman, K. P., Samanta, M., Sruthi, M. S., Poornachandran, P., Devi V. G, S., & Sukumar, N. (2024). Polymer and Nanocomposite Informatics: Recent Applications of Artificial Intelligence and Data Repositories. Advanced Machine Learning with Evolutionary and Metaheuristic Techniques, 297-322. https://doi.org/10.1007/978-981-99-9718-3_12
  3. Boukezzi, L., & Boubakeur, A. (2013). Prediction of mechanical properties of XLPE cable insulation under thermal aging: neural network approach. IEEE Transactions on Dielectrics and Electrical Insulation, 20(6), 2125-2134. https://doi.org/10.1109/TDEI.2013.6678861
  4. Cole, K. S., & Cole, R. H. (1941). Dispersion and absorption in dielectrics I. Alternating current characteristics. The Journal of chemical physics, 9(4), 341-351. https://doi.org/10.1063/1.1750906
  5. Çanta, H., Mutlu, R., & Korkmaz Tan, R. (2024). Yeni Üretilen XLPE İzolasyonlu Tek Damarlı Bir Güç Kablosunun Kaçak Empedansının Hesabı. EMO Bilimsel Dergi, 14(1), 19-26.

Kaynak Göster

IEEE
[1]R. Korkmaz Tan, H. Çanta, ve R. Mutlu, “ARTIFICIAL NEURAL NETWORK MODELS OF CROSS-LINKED POLYETHYLENE”, TUJES, c. 25, sy 2, ss. 129–141, Ara. 2024, doi: 10.59314/tujes.1598718.