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Power System Fault Detection Using The Discrete Wavelet Transform And Artificial Neural Networks, Kevin Keegan
Power System Fault Detection Using The Discrete Wavelet Transform And Artificial Neural Networks, Kevin Keegan
Electrical Engineering
This project focuses on detecting various phase to ground faults in three phase power systems. In this research, the faults are generated using a power distribution system simulator; and the three phase voltage waveforms are analyzed using the discrete wavelet transform. Multi-layer feed forward neural networks are employed for fault detection and classification. The effectiveness of this approach is demonstrated by computer simulation results.