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Representación de analisis de fallas usando DWT y redes neuronales
- 1. Simulation MG within
IEEE-5 test bench
Fault simulation process
in the electrical system
Discrete Wavelet
Transform
Utilizing Discrete Wavelet
Transform (DWT) for
Extracting Wavelet
Coefficients in Fault
Detection and Classification
Constructing the
Radial Basis Function
Neural Network
Radial Basis Function
Neural Network
performance
Extensive Computational
Simulations
Varying the Fault
Resistance
Comparison with
other models
Artificial Neural Networks (ANN)
Radial Basis Function Neural Network
Feed-Forward Neural Network
Recurrent Neural Network
Convolutional Neural Network
Machine Learning Models
Generalized Radial Basis Function Neural Network
Probabilistic Neural Network
Support Vector Machine
Nonlinear Autoregressive with Exogenous Inputs
Adaptive Neuro-Fuzzy Inference Syste
Results
Data preparation, network training, testing, and
parameter optimization:
• Mean square error
• Correlation coefficient
• Coefficient of determination
• K-fold cross validation
