An artificial intelligence system for a complex electromagnetic field problem. II. Method implementation and performance analysis

Author

Satsios, Kostas J. ; Labridis, Dimitris P. ; Dokopoulos, Petros S.

Author_Institution

Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece

Volume

35

Issue

1

fYear

1999

fDate

1/1/1999 12:00:00 AM

Firstpage

523

Lastpage

527

Abstract

For pt. I see ibid., vol. 35, no. 1, p. 516-22 (1999). An artificial intelligence system has been developed to determine the electromagnetic field in the complex problem of a faulty overhead transmission line above earth and a buried pipeline. The amplitude and phase of the magnetic vector potential (MVP) in the earth around the pipeline neighborhood, including the pipeline itself, are calculated, The performance of the trained fuzzy logic system (FLS) described in Part I was tested extensively for various configurations of the above electromagnetic field problem, differing significantly from the cases used for training. The trained FLS parameters required to calculate the electromagnetic field by simple formulas are also presented

Keywords

electrical engineering computing; electromagnetic field theory; electromagnetic interference; expert systems; finite element analysis; fuzzy logic; power engineering computing; power overhead lines; AI system; artificial intelligence system; buried pipeline; complex EM field problem; complex electromagnetic field problem; faulty overhead transmission line; magnetic vector potential; performance analysis; trained fuzzy logic system; Artificial intelligence; Earth; Electromagnetic fields; Finite element methods; Fuzzy logic; Input variables; Logic testing; Performance analysis; Pipelines; Power transmission lines;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/20.737476

Filename

737476