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AuthorRefaat, Shady S.
AuthorAbu-Rub, Haitham
AuthorIqbal, Atif
Available date2016-05-01T13:33:02Z
Publication Date2014
Publication Name7th IET International Conference on Power Electronics, Machines and Drives, PEMD 2014
ResourceScopus
CitationS. S. Refaat, H. Abu-Rub and A. Iqbal, "ANN-based system for a discrimination between unbalanced supply voltage and phase loss in induction motors," Power Electronics, Machines and Drives (PEMD 2014), 7th IET International Conference on, Manchester, 2014, pp. 1-6.
ISBN978-1-84919-815-8
URIhttp://dx.doi.org/10.1049/cp.2014.0325
URIhttp://hdl.handle.net/10576/4484
AbstractIt is documented that almost 98% of all voltage generated by electric utilities has up to 3% unbalance. Single phasing fault deserves special attention since phase loss is considered the worst case of unbalanced supply voltage. This paper focuses on unbalanced supply condition diagnosis and discrimination between an unbalance in the supply and phase loss fault. The discrimination will be based on the ratio of third harmonic to fundamental Fast Fourier Transform (FFT) magnitude components (RTHF-FFT) of the three-phase stator line currents and supply voltages under different load conditions and using artificial neural network (ANN). The proposed approach achieves high accuracy in detecting the unbalanced supply voltage condition in induction motor and identifying the level of severity of the fault. In addition, the proposed algorithm will discriminate between the effects of unbalanced supply voltage and those due to phase losses fault. The paper proposed a reliable approach for detection and diagnosis of unbalanced supply voltage condition. Possible loss of winding insulation under different percentages of unbalanced supply voltages will be predicted which could help preventing sudden failure of the motor during operation. The approach will be proved through experimental validation.
Languageen
PublisherInstitution of Engineering and Technology
SubjectANN
Fault detection
Induction motor
Phase losses fault
Unbalanced supply voltage
fast fourier transforms
induction motors
neural nets
stators
TitleANN-based system for a discrimination between unbalanced supply voltage and phase loss in induction motors
TypeConference Paper
dc.accessType Abstract Only


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