Title :
Diagnosis of broken rotor bar in induction machines using pitch synchronous wavelet transform
Author :
Hassen, Keskes ; Ahmed, Beena ; Zied, Lachiri
Author_Institution :
Res. Lab.: Mater., Mesures et Applic., Inst. Nat. des Sci. Appl. et de Technol., Tunis, Tunisia
Abstract :
Most often, broken rotor bar (BRB) frequency components are hardly detected in the stator current due to its low magnitude and its closeness to the supply frequency component. In this paper, a new approach is applied to overcome this drawback based on Pitch synchronous wavelet Transform (PSWT) under lower sampling rate. Compared to the traditional filtering techniques such as notch filter, PSWT can eliminate completely the fundamental frequency and doesn´t cause any suppression at the frequency sideband. The use of a lower sampling rate is an important factor to optimize the cost and the computation time of the diagnosis systems. Statistical results show that the proposed method has a good performance to detect BRB under different load conditions and different fault severity.
Keywords :
fault diagnosis; induction motors; rotors; wavelet transforms; BRB frequency components; PSWT; broken rotor bar frequency components; diagnosis systems; fundamental frequency; inductions machines; pitch synchronous wavelet transform; stator current; Amplitude modulation; Discrete wavelet transforms; Induction motors; Power harmonic filters; Rotors; Stators; Fault detection; Induction motor; Pitch synchronous wavelet Transform; broken-rotor-bar;
Conference_Titel :
Power Engineering, Energy and Electrical Drives (POWERENG), 2013 Fourth International Conference on
Conference_Location :
Istanbul
DOI :
10.1109/PowerEng.2013.6635729