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- W2347742174 abstract "Many researchers attach more importance to the measurement of harmonics.Wavelet Transform(WT) has the characters of varying-scale and time-frequency analysis,and Artificial Neural Network(ANN) has the characters of nonlinear mapping and self-learning,so these two kinds of methods have been applied in harmonic detection widely.But all of these two methods have their essential faults.In this paper the faults of WT and ANN are analyzed first,then based on their merits the algorithm of combining Multi-Layer Resolution(MLR) of WT and ANN is proposed to measure time-varying harmonics.The bi-orthogonal mother wavelet function is constructed and the optimized algorithm of determining the layer numbers of MLR is proposed.Finally,the model of WT-ANN is setup,and simulation result proves the effectiveness of the proposed model and algorithm." @default.
- W2347742174 created "2016-06-24" @default.
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- W2347742174 date "2008-01-01" @default.
- W2347742174 modified "2023-09-26" @default.
- W2347742174 title "Novel Method of Time-varying Harmonic Measurement Based on Wavelet Transform and Artificial Neural Network" @default.
- W2347742174 hasPublicationYear "2008" @default.
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