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

fYear

2009

fDate

15-17 Sept. 2009

Firstpage

1

Lastpage

5

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);

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Power Quality and Utilisation, 2009. EPQU 2009. 10th International Conference on

Conference_Location

Lodz

ISSN

2150-6655

Print_ISBN

978-1-4244-5171-5

Electronic_ISBN

2150-6655

Type

conf

DOI

10.1109/EPQU.2009.5318842

Filename

5318842