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Explore cutting-edge wavelet-based power system fault detection using MATLAB Simulink.
This project uses the Discrete Wavelet Transform (DWT) to detect and classify transients, power quality disturbances, and a variety of fault conditions in power systems.
Wavelet analysis provides time–frequency resolution, making it ideal for identifying sudden changes in electrical signals with high accuracy.
Multi-level wavelet decomposition (up to 8 levels)
Support for various mother wavelets (Haar, Daubechies, Coiflets)
Real-time fault classification algorithms
Integration with artificial neural networks for enhanced accuracy
Complete MATLAB/Simulink implementation with GUI
See It Before You Buy!
Watch the complete simulation and working of this MATLAB Simulink project in the video below. This demo will help you understand the key features, operation, and results of the model.
The video shows the actual Simulink model execution and output results.
Complete MATLAB Simulink model .slx file - compatible with MATLAB R2022b or later
Basic support for setup and simulation issues
A readme file for step-by-step guide for simulation
A license file
This project is ideal for final-year electrical engineering students, researchers, and anyone studying fault detection, power quality, or signal processing.
Can I edit or modify this Simulink model?
Yes. The provided MATLAB Simulink (.slx) file is fully editable and intended for learning, experimentation, and academic use.
Will this project work on my MATLAB version?
This project is compatible with MATLAB R2022b or later. You can contact us before purchase if you have version-related questions.
Is support provided after purchase?
Yes. Basic support is available for setup and simulation-related issues.