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AuthorRefaat, Shady S.
AuthorAbu-Rub, Haitham
AuthorSaad, M.S.
AuthorIqbal, Atif
Available date2016-03-30T08:01:38Z
Publication Date2014
Publication NameProceedings, IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society
CitationS. S. Refaat, H. Abu-Rub, M. S. Saad and A. Iqbal, "Open and closed-loop motor control system with incipient broken rotor bar fault detection using current signature," Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE, Dallas, TX, 2014, pp. 774-780.
AbstractMotor drive system is considered the most important asset in industrial applications. Detection of broken rotor bars has long been important but difficult job in detection area of incipient motor faults. The need for highly efficient motor control drive systems becomes more and more important. Motors are controlled in closed-loop or open-loop modes of operation. This paper develops a novel approach for fault-detection scheme of broken rotor bar faults for three-phase induction motor using stator current signal. The empirical mode decomposition (EMD) combined with Wigner-Ville distribution (WVD) has been employed for the analysis of stator current signal. Artificial neural network is then used for pattern recognition of broken rotor bar signature. The proposed algorithm offers high performance in detecting broken rotor bar fault. Both simulation and experimental results show that stator current-based monitoring in conjunction with Winger-Ville distribution based on EMD yields a reliable indicator for detection and diagnosis of broken rotor bar faults using artificial neural network. All simulations in this paper are conducted using finite element analysis software. Experimental results validate the simulation and analytical results.
SubjectBroken rotor bar fault
SubjectEmpirical mode decomposition
SubjectInduction machine
TitleOpen and closed-loop motor control system with incipient broken rotor bar fault detection using current signature
TypeConference Paper

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