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Publication:
Earth parameter and equivalent resistivity estimation using ANN

dc.contributor.authorLee, J.P.
dc.contributor.authorJi, P.S.
dc.contributor.authorLim, J.Y.
dc.contributor.authorKim, S.S.
dc.contributor.authorOzdemir, A.
dc.contributor.authorSingh, C.
dc.date.accessioned2026-01-25T02:24:36Z
dc.date.issued2005-08-10
dc.description.abstractEarth equipments are essential to protect human or other equipment from abnormal conditions. Earth resistance and potential must be restricted within low value to protect humans and equipment. An estimation algorithm of earth parameters and equivalent resistivity is introduced to calculate reliable earth resistance in this research. The proposed algorithm is based on the relationship between apparent resistances and earth parameters. The proposed algorithm, which approximates the non-linear characteristics of earth by using artificial neural network (ANN), estimates the earth parameters and equivalent resistivity. The effectiveness of the proposed method is verified with case studies.
dc.description.urihttps://doi.org/10.1109/pes.2005.1489485
dc.description.urihttps://dx.doi.org/10.1109/pes.2005.1489485
dc.identifier.doi10.1109/pes.2005.1489485
dc.identifier.endpage2021
dc.identifier.openairedoi_dedup___::4c1aed76c2edef70c49039e79e74487a
dc.identifier.startpage2016
dc.identifier.urihttps://hdl.handle.net/11527/42566
dc.publisherIEEE
dc.relation.ispartofIEEE Power Engineering Society General Meeting, 2005
dc.titleEarth parameter and equivalent resistivity estimation using ANN
dc.typeArticle
dspace.entity.typePublication

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