Application of Radial Basis Neural Network to diagnostics of induction motor stator faults using axial flux
نویسنده
چکیده
The paper presents diagnostics of induction motor stator faults. The decision on stator winding condition has been taken using the axial flux and based on artificial neural network with radial basis transfer function. The axial flux has been measured for different configuration of stator winding. On the basis of research it can be concluded that the axial flux can be successfully used in detection of faults in induction motor stator. Streszczenie. W artykule przedstawiono zastosowanie radialnej sieci neuronowej do diagnostyki maszyny indukcyjnej. Do uczenia sztucznej sieci neuronowej wykorzystano pomierzony strumień osiowy. Pomiaru strumienia osiowego dokonano za pomocą cewki pomiarowej nawiniętej wokół połączeń czołowych stojana. Uszkodzenia symulowano za pomocą wyprowadzonych zaczepów uzwojenia stojana. Przedstawione wyniki podań potwierdzają skuteczność zaproponowanej metody. (Zastosowanie radialnej sieci neuronowej z wykorzystaniem strumienia osiowego w diagnostyce silnika indukcyjnego)
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