Discrete wavelet transform and back-propagation neural networks algorithm for fault location on single-circuit transmission line

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dc.contributor.authorNgaopitakkul, Atthapol
dc.contributor.authorPothisarn, Chaichan
dc.date.accessioned2026-08-06T09:56:17Z
dc.date.available2026-08-06T09:56:17Z
dc.date.issued2008-01-01
dc.description.abstractThis paper proposes a technique using discrete wavelet transform (DWT) and back-propagation neural network (BPNN) for locating of fault location on single circuit transmission lines. The ATP/EMTP was used to simulated fault signals. The mother wavelet daubechies4 (db4) is employed to decompose, high frequency component from these signals. The first peak time in first scale of each bus that can detect fault are used as input pattern for the training pattern. It is shown that the proposed technique gives satisfactory. © 2008 IEEE.
dc.identifier.citation2008 IEEE International Conference on Robotics and Biomimetics Robio 2008, 1613-1618, 2008
dc.identifier.doi10.1109/ROBIO.2009.4913242
dc.identifier.other2-s2.0-70349164674
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/1920
dc.source2008 IEEE International Conference on Robotics and Biomimetics Robio 2008
dc.subjectATP/EMTP
dc.subjectBackpropagation neural network
dc.subjectFault Location
dc.subjectTransmission line
dc.subjectWavelet transform
dc.titleDiscrete wavelet transform and back-propagation neural networks algorithm for fault location on single-circuit transmission line
dc.typeConference Paper

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