Power Quality Disturbance Classification Based on IGWT-SNHMM
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 2, Issue 12
Abstract
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.
Authors and Affiliations
Xueting Liu
Keywords
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