TY - JOUR ID - 1048 TI - A novel approach to broken bar detection in induction motor via wavelet transformation JO - Iranian Journal of Science and Technology Transactions of Electrical Engineering JA - IJSTE LA - en SN - 2228-6179 Y1 - 2013 PY - 2013 VL - 27 IS - 4 SP - 763 EP - 770 KW - Wavelet KW - Induction motor KW - broken bars KW - fault diagnosis DO - 10.22099/ijste.2013.1048 N2 - This paper presents a novel approach for the detection of broken rotor bars in induction motors based on the wavelet transformation. A multi-resolution signal decomposition based on wavelet transform or wavelet packet provides a set of decomposed signals in independent frequency bands which contain a large amount of independent dynamic information due to the orthogonality of wavelet functions. Wavelet transform and wavelet packet in tandem with some signal processing methods such as autoregressive spectrum, energy monitoring, fractal dimension, etc., can produce many desirable results for condition monitoring and the fault diagnosis of an induction motor. Broken bar detection is based on decomposing the stator currents, and then extracting the wavelet coefficients of these signals. Comparing these extracted coefficients can diagnose a healthy machine from a faulty machine. Experimental results are presented in healthy, two, three, four, and five broken bars. Deviation of wavelet coefficients in a healthy mode from a faulty mode shows the number of broken bars in the rotor cage. Simulation and experimental results show the effectiveness of the proposed method for broken rotor bar detection in squirrel cage induction motors UR - https://ijste.shirazu.ac.ir/article_1048.html L1 - ER -