English title

The aging of insulating materials can be estimated by an electrical breakdown occurring in electrical components so that the relationship between lifetime, failure probability and reliability of electrical components may be studied using the life models in high voltage cables networks. In last decades with attention to higher features as electrical, thermal, mechanical characteristic, widely cross-linked polyethylene cables replaced instead of oil-papered cables. However cable networks reliability far higher than overhead transmission networks, but different stresses as thermal, electrical, multi stress and load cycling are reduced useful cable operation life. In this paper, a novel approach is presented to high voltage power XLPE insulated cable life estimation. In this work, for power XLPE cable life estimation, artificial neural networks (ANNs) are used. Inputs of artificial neural networks, thermal, electric field intensity, soil thermal resistivity and other cable layers thermal resistivities are specified. Power cable life under thermal, electrical and multi stresses and different conditions are estimated by ANNs.