Title :
Electromagnetic interferences between HV power lines and metallic pipelines evaluated with neural network technique
Author :
Micu, Dan D. ; Czumbil, Levente ; Ceclan, Andrei ; Darabant, Laura ; Stet, Denisa ; Christoforidis, Georgios
Author_Institution :
Electr. Eng. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
Abstract :
The paper presents the development of a neural network for a study case of an electromagnetic interference between high voltage power lines and metallic underground pipelines, for various constructive geometries. Results gained with neural networks are compared to the finite element solutions considered as standard ones. Our contribution relates to the implementation and test of the neural network technique, to the study of electromagnetic interference in the studied case.
Keywords :
electromagnetic interference; finite element analysis; neural nets; pipelines; power cables; power engineering computing; HV power lines; electromagnetic interference; metallic underground pipelines; neural network technique; Artificial intelligence; Artificial neural networks; Biological neural networks; Electromagnetic fields; Electromagnetic interference; Neural networks; Neurons; Pipelines; Soil; Voltage; electromagnetic interference; high voltage power lines; metallic underground pipelines; neural networks (NN);
Conference_Titel :
Electrical Power Quality and Utilisation, 2009. EPQU 2009. 10th International Conference on
Conference_Location :
Lodz
Print_ISBN :
978-1-4244-5171-5
Electronic_ISBN :
2150-6655
DOI :
10.1109/EPQU.2009.5318842
