Browsing by Author "Güran, Ferzan"

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    Use of park transformation in harmonic suppression foe wavelet packet based broken rotor bar detection
    (Bahçeşehir Üniversitesi Fen Bilimleri Enstitüsü, 2011-09) Güran, Ferzan; Eren, Levent
    Electric motors are the most important equipments of modern industrial production and services. Naturally, any problem concerning these electric machines decreases the efficiency of production and cause major losses in these facilities. Most of these failures occur as bearing, stator winding and broken rotor bar faults. Those faults can be recognized from the data gathered from the motor current signatures. General methods are based on using a notch filter for suppressing power system harmonics and then analyse the current signatures by the fourier analyse procedure. Working with time domain information or frequency domain information does not give the expected results. We in this study, used Park’s transformation for suppressing fundamental power system harmonic and wavelet packets to analyse the stator currents in order to identify broken rotor bar failures in an induction motor. In order to verify that the increase in the energy levels of fault associated frequency bands are indeed due to the broken rotor bars, spectral post processing with fast fourier transform is applied.