Conditioning of a Spectral Indicator for the Detection of Rotor Faults of an Induction Motor by Using the TSA Method

The purpose of this paper is to present a method to detect and diagnose an induction motor rotor fault, by exploiting the cyclostationary characteristics of electrical signals. In fact, the induction motor defects are the most complex in terms of detection since they interact with the 50 Hz carrier frequency within a restricted band around 50 Hz. The test bench includes an industrial three-phase wound rotor asynchronous motor of 400V, 6.2A, 50Hz, 3kW, 1385rpm characteristics. The rotor fault has been carried out by adding an extra 40mΩ resistance on one of the rotor phases (i.e. 10% of the rotor resistance value per phase, Rr=0,4Ω). From the stator voltage and current acquisition, and by application of the Time Synchronous Averaging (TSA), the electrical signal is conditioned in order to obtain a sensitive spectral indicator allowing to diagnose the motor defects by the Motor Current Signature Analysis (MCSA) method.

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