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Discrete Wavelet Transform for the Detection of Transient Disturbances

Jayasree T, Sam Harison D, Jayanthy T

Abstract


This paper presents the applications of Discrete Wavelet Transform (DWT) for the detection of transient disturbances. Electrical transients can happen in power systems from different sources and have adverse things on the equipment and dependability of the power system. This paper proposes Discrete Wavelet Transform (DWT) based methodology for the detection of transient disturbances. In this method wavelet coefficients are used for the for finding the amplitude variations of the transient signals at different time and frequencies.


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References


Heydt, G. T., & Galli, A. W. (1997). Transient power quality problems analyzed using wavelets. IEEE transactions on power delivery, 12(2), 908-915.

Poisson, O., Rioual, P., & Meunier, M. (2000). Detection and measurement of power quality disturbances using wavelet transform. IEEE transactions on Power Delivery, 15(3), 1039-1044.

Barford, L. A., Fazzio, R. S., & Smith, D. R. (1992). An introduction to wavelets. Hewlett Packard.

Newland, D. E. (2012). An introduction to random vibrations, spectral & wavelet analysis. Courier Corporation.

Erişti, H., Uçar, A., & Demir, Y. (2010). Wavelet-based feature extraction and selection for classification of power system disturbances using support vector machines. Electric power systems research, 80(7), 743-752.

Gaouda, A. M., Salama, M. M. A., Sultan, M. R., & Chikhani, A. Y. (1999). Power quality detection and classification using wavelet-multi resolution signal decomposition. IEEE Transactions on power delivery, 14(4), 1469-1476.

Pires, V. F., Amaral, T. G., & Martins, J. F. (2011). Power quality disturbances classification using the 3-D space representation and PCA based neuro-fuzzy approach. Expert Systems with Applications, 38(9), 11911-11917.


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