Power Quality Disturbance Classification Based on IGWT-SNHMM

By using the optimum-interval interpolation estimation, in this paper, a new composite model which is based on the improved second generation wavelet transform and second order nonhomogeneous Hidden Markov Model(ISGWT-SNHMM) is proposed and applied in the power quality disturbance classification. By adopting the interpolating scheme and the optimum-interval interpolation estimation, the prediction coefficients which are solved by least square method with constraint of vanishing moment number can represent features of the given date