Neural Network Evaluation of Electromagnetic Interferences between HV Power Lines and Underground Metallic Pipelines

This paper presents the use of neuralnetworks in the study of electromagnetic interferencesbetween high voltage power lines and metallicunderground pipelines, for various constructivegeometries. Results gained with neural networks arecompared to the finite element solutions considered asstandard ones. Our contribution relates to theimplementation of the neural network AI technique, tothe study of electromagnetic interference problems andthe testing of the neural networks used in the studiedcase.