Rotor Inter-turn Short Circuit Fault Diagnosis System Of The Generator In BaoGang Group Power Plant Based On ANN

Aiming at practical operation condition of the #6 generator in Baotou Iron and Steel (Group) Co. Ltd Thermoelectric Plant, the rotor excitation winding inter-turn short circuit fault diagnosis system is developed. Firstly, the characteristic, that the excitation current increases correspondingly while reactive power decreases when the fault has happened, is analyzed. Then the fault diagnosis method based on artificial neural network(ANN) is put forward, the theoretic excitation current can be calculated by ANN, and the error between theoretic excitation current and practical collected excitation current can be analyzed, and the fault can be diagnosed based on the error. Finally the rotor excitation winding inter-turn short circuit fault diagnosis system is developed, which is applied to the #6 generator in Baotou Iron and Steel (Group) Co. Ltd Thermoelectric Plant, and the functions consist of the neural network model, data collection, memory, fault diagnosis, browsing historical data and the correlative statistic graphs. Besides client servers in LAN can observe the present operation condition of the generator through accessing to servers.