An application of discrete wavelet transform and support vector machines algorithm for fault locations in underground cable

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dc.contributor.authorApisit, C.
dc.contributor.authorPothisarn, C.
dc.contributor.authorNgaopitakkul, A.
dc.date.accessioned2026-08-06T10:05:38Z
dc.date.available2026-08-06T10:05:38Z
dc.date.issued2012-12-12
dc.description.abstractThis paper proposes a technique using discrete wavelet transform (DWT) and support vector machines (SVM) for fault location in underground distribution cable. The ATP/EMTP is used to simulate fault signals. The mother wavelet daubechies4 (db4) is employed to decompose high frequency component from these signals. The maximum coefficient obtained from positive sequence current in first scale capable of detecting fault of each bus is used as input pattern for the training pattern. It is shown that the proposed technique gives satisfactory results, and will be very useful in the development of a power system protection scheme. © 2012 IEEE.
dc.identifier.citationProceedings 3rd International Conference on Innovations in Bio Inspired Computing and Applications Ibica 2012, 89-92, 2012
dc.identifier.doi10.1109/IBICA.2012.22
dc.identifier.other2-s2.0-84870719389
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/4594
dc.sourceProceedings 3rd International Conference on Innovations in Bio Inspired Computing and Applications Ibica 2012
dc.subjectFault Location
dc.subjectSupport Vector Machines
dc.subjectUnderground Distribution Cable
dc.subjectWavelet Transform
dc.titleAn application of discrete wavelet transform and support vector machines algorithm for fault locations in underground cable
dc.typeConference Paper

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