Artificial Intelligent Systems and Machine Learning

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Implementation of Power Quality Analysis Using Radial Basis Function and Fuzzy Logic


Affiliations
1 Dept. of Electrical & Electronics Engg., Bangalore Institute of Technology, V.V Puram, K.R. Road, Bangalore-560004, India
2 Department of Mechanical Engineering, PET Engineering College, Vallioor 627117, India
     

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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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  • Implementation of Power Quality Analysis Using Radial Basis Function and Fuzzy Logic

Abstract Views: 167  |  PDF Views: 3

Authors

P. Pramila
Dept. of Electrical & Electronics Engg., Bangalore Institute of Technology, V.V Puram, K.R. Road, Bangalore-560004, India
S. Purushothaman
Department of Mechanical Engineering, PET Engineering College, Vallioor 627117, India

Abstract


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.