Identification of fault types for a three-bus transmission network using Discrete Wavelet Transform and probabilistic neural networks

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dc.contributor.authorPatcharoen, T.
dc.contributor.authorNgaopitakkul, A.
dc.contributor.authorKunakorn, A.
dc.date.accessioned2026-08-06T09:55:48Z
dc.date.available2026-08-06T09:55:48Z
dc.date.issued2007-12-01
dc.description.abstractThis paper proposes a new algorithm for detecting faults in an electric power transmission network system. The Discrete Wavelet Transform (DWT) and probabilistic neural network (PNN) are used in order to detect the high frequency components and to identify fault types on a three-bus transmission network with a loop structure. Simulations and the training process for the neural network are performed using PSCAD/EMTDC and MATLAB. It is found that the proposed algorithm gives satisfactory results, and will be very useful in the development of a modern protection scheme for electrical power transmission network systems. © 2007 RPS.
dc.identifier.citation8th International Power Engineering Conference IPEC 2007, 1137-1142, 2007
dc.identifier.other2-s2.0-51349140827
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/1778
dc.source8th International Power Engineering Conference IPEC 2007
dc.subjectDiscrete Wavelet Transform
dc.subjectFault
dc.subjectProbabilistic neural network
dc.subjectPSCAD/EMTDC
dc.titleIdentification of fault types for a three-bus transmission network using Discrete Wavelet Transform and probabilistic neural networks
dc.typeConference Paper

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