Diagnosis inverter-fed induction motor fault at low load conditions by using demodulation Teager-Kaiser energy operator based on stator current
by Hamid Khelfi; Samir Hamdani; Youcef Chibani
International Journal of Digital Signals and Smart Systems (IJDSSS), Vol. 3, No. 1/2/3, 2019

Abstract: This paper presents a reliable indirect technique, which has high robustness for diagnosis broken rotor bars in inverter-fed induction motor at low load condition. This technique is based on the analysis in a frequency domain of the temporal signal extracted through Teager-Kaiser energy operator demodulation in a steady state of one phase stator current and that without calculating the analytical signal of Hilbert transform. The theoretical background of the proposed techniques is presented then experimentally validated by using one current signal from testing three different induction machines: a healthy machine, a machine with one broken rotor bar, and with two broken rotor bars. The experiment motors were operated under three load conditions (low, medium and high), and supplied by the inverter at different frequencies. The main obtained results are performed under various operational situations show the robustness and effectiveness of the proposed technique even for the lightly load comparing to these the traditional MCSA method, which this technique can successfully diagnose the fault inverter-fed induction machine and make it more suitable for the low load condition.

Online publication date: Tue, 05-Nov-2019

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