Title :
Hall Effect Sensor and Artificial Neural Networks Applied on Diagnosis of Broken Rotor Bars in Large Induction Motors
Author :
Dias, Cleber G. ; Chabu, I.E. ; Bussab, M.A.
Author_Institution :
Dept. of Electr. Energy & Autom. Eng., Sao Paulo Univ.
Abstract :
This paper presents the use of the neural networks techniques in order to help on diagnosis of broken bars in large induction motors in real time. The obtained signal of the Hall effect sensor is applied in an artificial neural network to identify a fault and to estimate the number of broken bars. Simulation results are presented from the model implemented in the SIMULINK/MATLAB tool
Keywords :
Hall effect transducers; electrical engineering computing; fault diagnosis; induction motors; neural nets; Hall effect sensor; MATLAB; SIMULINK; artificial neural network; broken rotor bars; fault analysis; induction motor; Artificial neural networks; Bars; Hall effect devices; Induction motors; Magnetic field measurement; Magnetic flux density; Magnetic sensors; Mathematical model; Neural networks; Rotors; broken bar; fault analysis; hall effect; induction motor; neural networks;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, Proceedings of 2006 IEEE International Conference on
Conference_Location :
La Coruna
Print_ISBN :
1-4244-0244-1
Electronic_ISBN :
1-4244-0245-X
DOI :
10.1109/CIMSA.2006.250744
