Fault Diagnosys of Synchronous Generator Using Neural Network Techniques
نویسنده
چکیده
Because of the development of electric power industry accurate analysis of incipient faults in generators becomes very important. This paper presents a method for simulating the internal faults in synchronous generators using artificial intelligence technique. The internal faults like single line to ground, double line to ground & triple line to ground of generator stator current, rotor speed, electromagnetic torque and field current etc.
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