A Comparative Study for Broken Rotor Bars Fault Detection in Induction Machine using DWT and MUSIC techniques

In Squirrel Cage Induction Machines (SCIMs), the diagnosis of Broken Rotor Bars (BRBs) fault is the most difficult. Special attention has been given to the Discrete Wavelet Transform (DWT) to detect the BRBs. Also, high-resolution techniques such as MUltiple SIgnal Classification (MUSIC) have been proposed to improve the BRBs detection. Therefore, this paper examines the effectiveness of DWT and MUSIC techniques to detect the BRBs in a three-phase SCIM. In both techniques, the stator current signal is analyzed in steady-state to extract the fault frequencies of BRBs. Experimental results obtained using a SCIM of 1.1 kW confirm the high performance of the MUSIC technique to extract the related-faults frequencies of BRBs compared to the DWT.