Title :
A comparison between MLP NN and RBF NN techniques for the detection of stator inter-turn fault of an induction motor
Author :
Dash, Rudra Narayan ; Subudhi, Bidyadhar ; Das, Susmita
Author_Institution :
Dept. of Electr. Eng., Nat. Inst. of Technol., Rourkela, India
Abstract :
This paper presents a comparison between multilayer perceptron neural network (MLP NN) and Radial basis feedforward neural network (RBF NN) techniques for the detection of inter-turn short circuit fault in stator winding of an induction motor. The fault location process is based on the monitoring the three phase shifts between the line current and the phase voltage of the induction machine.
Keywords :
induction motors; multilayer perceptrons; power engineering computing; stators; MLP NN; RBF NN techniques; circuit fault; induction motor; stator inter turn fault; stator winding; Artificial neural networks; Conferences; Induction motors; Industrial electronics; Service robots; Stators; Fault Diagnosis; Induction Motor; Interturn short circuit fault; Multilayer Perceptron Neural Network; Radial Basis Function Neural Network;
Conference_Titel :
Industrial Electronics, Control & Robotics (IECR), 2010 International Conference on
Conference_Location :
Orissa
Print_ISBN :
978-1-4244-8544-4
DOI :
10.1109/IECR.2010.5720163
