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Pramila, P.
- Implementation of Power Quality Analysis Using Radial Basis Function and Fuzzy Logic
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Authors
Affiliations
1 Dept. of Electrical & Electronics Engg., Bangalore Institute of Technology, V.V Puram, K.R. Road, Bangalore-560004, IN
2 Department of Mechanical Engineering, PET Engineering College, Vallioor 627117, IN
1 Dept. of Electrical & Electronics Engg., Bangalore Institute of Technology, V.V Puram, K.R. Road, Bangalore-560004, IN
2 Department of Mechanical Engineering, PET Engineering College, Vallioor 627117, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 6, No 6 (2014), Pagination: 197-202Abstract
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.