Title :
Broken rotor bar detection in induction motor via stator current derivative
Author :
Arehpanahi, Mehdi ; Sadeghi, S.H.H. ; Milimonfared, J. ; Roknabadi, H. R Akbari
Author_Institution :
Dept. of Electr. Eng., Amir Kabir Univ. of Technol., Tehran
Abstract :
The fault of broken rotor bars in a three phase induction motor is diagnosed by using the wavelet multi-resolution analysis in this paper. Daubechies wavelet is selected as the wavelet base and the wavelet coefficient is obtained from the wavelet transform of current derivative signal of the faulty induction motor. The wavelet reconstruction of a signal branch is processed. The signals energy in different levels is compared together. Simulation result show that different broken rotor bar have different energy in level three. Based on this number of broken rotor bar is obtained
Keywords :
fault diagnosis; induction motors; rotors; stators; wavelet transforms; Daubechies wavelet; broken rotor bar fault detection; current derivative signal; stator current derivative; three phase induction motor; wavelet multiresolution analysis; wavelet reconstruction; wavelet transform; Fault diagnosis; Fourier transforms; Frequency; Induction motors; Rotors; Signal processing; Stators; Thermal stresses; Torque; Wavelet transforms;
Conference_Titel :
Electrical Machines and Systems, 2005. ICEMS 2005. Proceedings of the Eighth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
7-5062-7407-8
DOI :
10.1109/ICEMS.2005.202957
