WSEAS Transactions on Signal Processing
Print ISSN: 1790-5052, E-ISSN: 2224-3488
Volume 8, 2012
A New Approach to Diagnose Induction Motor Defects based on the Combination of the TSA Method and MCSA Technique
Authors: , ,
Abstract: In this article, we are trying to exploit the cyclostationary characteristics of electrical signals in order to detect the rotor faults of an asynchronous machine. These defects are the most complex in terms of detection since they interact with the 50 Hz carrier with a weak band occupied in frequency. The test bench used includes an industrial three-phase wound rotor asynchronous motor of 400V, 6.2A, 50Hz, 3kW, 1385rpm characteristics (Fig. 15). The rotor fault has been carried out by adding an extra 40m? resistance on one of the rotor phases (i.e. 10% of the rotor resistance value per phase, Rr=0,4?). From the stator voltage and current acquisition, and by application of the Time Synchronous Averaging (TSA) method to the stator current, we condition the electrical signal in order to obtain a sensitive indicator allowing to easily distinguish the healthy cases from defective ones; this indicator will allow the motor monitoring. In a second step, we will apply the Motor Current Signature Analysis (MCSA) technique to the stator current, in order to identify the type of the detected fault. This will allow to go further and diagnose the motor defect.
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Keywords: Cyclostationarity, Time Synchronous Averaging (TSA), Monitoring, Rotor fault, Spectral analysis, Motor Current Signature Analysis (MCSA)