Influence of Fuzzy Parameters on the Modeling Quality of XLPE Insulation Properties under Thermal Aging

Abstract

In this work, we have used the fuzzy logic approach to predict mechanical properties (hot set test) of cross-linked polyethylene (XLPE) used as insulation in high voltage cables. The studied property presents non linear variations according to the aging time under high temperatures. So it is very difficult to find a theoretical or experimental model of the properties evolution under thermal aging. For that reason, several factors have been considered such as aging time and applied temperature. The obtained results are very encouraging and pointed out that the fuzzy logic is a powerful tool to predict the insulation proprieties. In other words, the obtained results are in good accordance with the experimental results with an acceptable error margin.

Keywords

• Fuzzy logic
• Thermal aging
• Cross-linked polyethylene
• Fuzzy inference system
• Prediction