Abdallah HEDIR, Alı BECHOUCHE, Mustapha MOUDOUD, Madjıd TEGUAR, Omar LAMROUS, Sebastıen RONDOT

Experimental and predicted XLPE cable insulation properties under UV Radiation

This paper deals with the behavior of the crosslinked polyethylene XLPE used as high-voltage power cable insulation under ultraviolet UV radiations. For this, XLPE samples have been irradiated for 240 h using low-pressure vapor fluorescent lamps. Electrical surface and volume resistivities , mechanical tensile strength, elongation at break and surface hardness and physical weight loss, water absorption, work of water adhesion and contact angle tests have been first carried out. Experimental results show that the XLPE characteristics are affected by UV radiation. Indeed, a decline in surface resistivity, mechanical properties, and contact angle, and an increase in the water retention amount and weight loss have been recorded. In order to predict and extrapolate some XLPE properties, a supervised artificial neural network ANN trained by Levenberg-Marquardt algorithm has been designed. The collected database is used to train and test the ANN performance. The obtained results show that the proposed ANN algorithm presents good estimation and prediction since the predicted output values agree with the experimental data.

Keywords:

Crosslinked polyethylene, ultraviolet, cable, insulation, artificial neural network, Levenberg-Marquardt,

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Turkish Journal of Electrical Engineering and Computer Science-Cover

ISSN: 1300-0632
Yayın Aralığı: Yılda 6 Sayı
Yayıncı: TÜBİTAK

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