Digital System For Detection And Classification Of Electrical Events

dc.creatorCerqueira A.S.
dc.creatorDuque C.A.
dc.creatorTrindade R.M.
dc.creatorRibeiro M.V.
dc.date2005
dc.date2015-06-26T14:07:19Z
dc.date2015-11-26T15:41:37Z
dc.date2015-06-26T14:07:19Z
dc.date2015-11-26T15:41:37Z
dc.date.accessioned2018-03-28T22:50:08Z
dc.date.available2018-03-28T22:50:08Z
dc.identifier
dc.identifierProceedings - Ieee International Symposium On Circuits And Systems. , v. , n. , p. 5417 - 5420, 2005.
dc.identifier2714310
dc.identifier10.1109/ISCAS.2005.1465861
dc.identifierhttp://www.scopus.com/inward/record.url?eid=2-s2.0-33947125980&partnerID=40&md5=b653e85536f36dbf2ab35ec88110bb3a
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/93327
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/93327
dc.identifier2-s2.0-33947125980
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1264659
dc.descriptionThis paper describes an algorithm to detect and classify electrical events related to power quality. The events detection is based on monitoring the statistical characteristics of the energy of the error signal, which is defined as the difference between the monitored waveform and a sinusoidal wave generated with the same magnitude, frequency, and phase as the fundamental sinusoidal component. The system novel feature is the event recognition based on a neural network that uses the error signal as input. Multi-rate techniques are also employed to improve the system operation for on-line applications. Software tests were performed showing the good performance of the sytem. © 2005 IEEE.
dc.description
dc.description
dc.description5417
dc.description5420
dc.descriptionArrillaga, J., Watson, N.R., Bollen, M.H.J., Power quality following deregulation (2000) Proc. of the IEEE, 88 (2), pp. 246-261. , Feb
dc.descriptionDugan, R.C., McGranaghan, M.F., Beaty, H.W., (1996) Electrical Power Systems Quality, , McGraw-Hill
dc.descriptionPoisson, O., Rioual, P., Meunier, M., Detection and measurement of power quality disturbances using wavelet transform (2000) IEEE Trans. on Power Delivery, 15 (3), pp. 1039-1044
dc.descriptionIbrahim, W.R.A., Morcos, M.M., Artificial intelligence and advanced mathematical tools for power quality applications: A survey (2002) IEEE Trans. on Power Delivery, 17 (2), pp. 668-673
dc.descriptionSantoso, S., Grady, W.M., Powers, E.J., Lamoore, J., Bhatt, S.C., Characterization of distribution power quality events with fourier and wavelet transforms (2000) IEEE Trans. on Power Delivery, 15 (1), pp. 247-254
dc.descriptionRibeiro, M.V., Duque, C.A., Romano, J.M.T., An improved method for signal processing and compression in power quality evaluation (2004) IEEE Trans. on Power Delivery, 19 (2), pp. 464-471
dc.descriptionRamos, F.R., Ribeiro, M.V., Romano, J.M.T., Duque, C.A., On signal processing approach for event detection and compression applied to power quality evaluation (2002) Proc. of the IEEE 10th International Conference on Harmonic and Quality of Power, pp. 133-138
dc.descriptionLippmann, R.P., A critical overview of neural network pattern classifiers (1991) IEEE workshop on Neural Network for Signal Processing, pp. 266-275
dc.descriptionSantoso, S., Powers, E., Grady, W.M., Parsons, A.C., Power quality disturbance waveform recognition using wavelet-based neural classifier-part 1: Theoretical foundation (2000) IEEE Trans. on Power Delivery, 15 (1), pp. 222-228
dc.descriptionSantoso, S., Powers, E., Grady, W.M., Parsons, A.C., Power quality disturbance waveform recognition using waveletbased neural classifier-part 2: Application (2000) IEEE Trans. on Power Delivery, 15 (1), pp. 229-235
dc.languageen
dc.publisher
dc.relationProceedings - IEEE International Symposium on Circuits and Systems
dc.rightsfechado
dc.sourceScopus
dc.titleDigital System For Detection And Classification Of Electrical Events
dc.typeActas de congresos


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