Title :
A comparison between RNN and RBF NN techniques for the detection of stator inter-turn fault of an induction motor
Author :
Dash, Rudra Narayan ; Panigrahy, Chinmoy ; Subudhi, Bidyadhar
Author_Institution :
School of Electrical Engineering, KIIT University, Bhubaneswar, Odisha, India
Abstract :
With a view to detecting the inter-turn short circuit fault in stator winding of an Induction motor, an attempt has been made to compare RNN (Recurrent Neural Network) with RBF NN (Radial basis feed-forward neural network). Monitoring the three phase shifts between the current (Line) and voltage (Phase) of the Induction Motor is the basis of the fault location process.
Keywords :
Artificial neural networks; Circuit faults; Induction motors; Recurrent neural networks; Stator windings; Fault Diagnosis; Induction Motor; Interturn short circuit fault; Radial Basis Function Neural Network; Recurrent Neural Network;
Conference_Titel :
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location :
Visakhapatnam, India
Print_ISBN :
978-1-4799-7676-8
DOI :
10.1109/EESCO.2015.7254022
