Fault diagnosis of an induction motor through motor current signature analysis, FFT & DWT analysis

The paper is focused on one of the important technique practised under Condition Based Maintenance (CBM) procedure, which is known as Motor Current Signature Analysis (MCSA). The technique proposes the study of side-band frequencies, which are generated due to fault conditions within the machine. These side-band frequencies are later analyzed using Fast Fourier Transforms (FFT) and Discrete Wavelet Transforms (DWT). In the present work, the two different fault conditions namely Broken Rotor Bar (BRB) and Stator Winding Fault (SWF) are jointly analyzed, as a novel approach. The results have been compared with the fault diagnosis of healthy machine. This contribution can be helpful in further carrying out study on prognostics of the machines, and in reducing the unscheduled breakdown while increasing the reliability of the machine.