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 one...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Dan D. Micu [verfasserIn] L. Czumbil [verfasserIn] A. Ceclan [verfasserIn] E. Simion [verfasserIn] Denisa Stet [verfasserIn] Liliana Cîmpan [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Journal of Electrical and Electronics Engineering - Editura Universităţii din Oradea, 2009, 2(2009), 1, Seite 73-78 |
|---|---|
| Übergeordnetes Werk: |
volume:2 ; year:2009 ; number:1 ; pages:73-78 |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ052100634</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230308164140.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230227s2009 xx |||||o 00| ||eng c</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ052100634</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ80ed057f60434867a5ffa674af802b39</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">TK1-9971</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Dan D. Micu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Neural Network Evaluation of Electromagnetic Interferences between HV Power Lines and Underground Metallic Pipelines</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2009</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">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.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">neural networks (NN)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">electromagnetic interference</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">high voltage power lines</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">pipelines</subfield></datafield><datafield tag="653" ind1=" " ind2="0"><subfield code="a">Electrical engineering. Electronics. Nuclear engineering</subfield></datafield><datafield tag="700" ind1="0" ind2=" "><subfield code="a">L. 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