This paper describes Artificial Intelligences techniques for detecting internal faults in a generator. Three techniques uses Neural Net (NN), Fuzzy Neural (FNN) and Fuzzy Neural Petri Net (FNPN) to implements differential protection of generator. MATLAB toolbox has been used for simulations and generation of fault data to training the programs for different faults cases and to implement the relay. Result of different cases studies are presented and compares among three implements techniques.
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