Discrete wavelet transform and probabilistic neural networks algorithm for identification of fault locations on transmission systems

Simple item page
dc.contributor.authorNgaopitakkul, A.
dc.contributor.authorKunakorn, A.
dc.contributor.authorBunjongjit, S.
dc.date.accessioned2026-08-06T09:52:49Z
dc.date.available2026-08-06T09:52:49Z
dc.date.issued2004-12-01
dc.description.abstractThis paper proposes a new algorithm for detecting faults in an electric power transmission 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 locations on the transmission system. Simulations and the training process for the neural network are performed using ATP/EMTP and MATLAB. It is found that the proposed algorithm gives satisfactory results, and will be very useful in the development of a power system protection scheme. © 2004 IEEE.
dc.identifier.citation2004 International Conference on Power System Technology Powercon 2004, 1, 270-274, 2004
dc.identifier.other2-s2.0-20444473469
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/913
dc.source2004 International Conference on Power System Technology Powercon 2004
dc.subjectATP/EMTP
dc.subjectDiscrete wavelet transform
dc.subjectFault
dc.subjectProbabilistic neural network
dc.titleDiscrete wavelet transform and probabilistic neural networks algorithm for identification of fault locations on transmission systems
dc.typeConference Paper

Files

Collections

Research