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Implementation of Power Quality Analysis Using Radial Basis Function and Fuzzy Logic
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The paper presents implementation of neurofuzzy methods for estimating power quality. The electrical signal is collected and decomposed to obtain features. The estimated features were used as input parameters to Radial Basis Function (RBF) and Fuzzy Logic (FL) for training and testing to get the final weights. The resulted final weights were used for testing the proposed algorithms to estimate the power quality of the electrical signal.
Keywords
Radial Basis Function (RBF), Fuzzy Logic (FL), Power Quality Analysis.
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