Abstract
Motor current signature analysis (MCSA) has been a mature technique for fault detection in line-fed induction motors for decades. Since nowadays most induction motors are driven by inverters, it is challenging to detect faults in inverter-fed induction motors due to the operation of varying speed and varying load. In this paper, we study broken-bar fault detection in inverter-fed induction motors under varying speed conditions. By representing the stator current using a complex space vector, we define a new fault signature of continuous varying frequency. To effectively extract the newly defined broken-bar fault signature, we propose a graph-based method in which we solve an optimization problem of graph model with constraints imposing smoothness and sparsity of the spectrum. Simulation results demonstrate the effectiveness of the proposed method.
Published Version
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