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Tytuł artykułu

ZSV spectrum-based detection of im rotor dissymmetry immunity to false alarms

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PL
Wykrywanie asymetrii wirnika w silniku indukcyjnym na podstawie analizy napięcie ZSV
Języki publikacji
EN
Abstrakty
EN
This paper presents a comprehensive study of new tool used to detect rotor asymmetries in induction motors, which operate in different types of operating conditions and different loads. The proposed approach is performed by tracking the amplitude of the most sensitive harmonics in the spectrum of the line neutral voltage called also the Zero Sequence Voltage (potential difference between the null point of the supply voltage system and the neutral of the star connection of IM stator winding), using a dynamic acquisition rate based on machine frequency supply. To assess detection accuracy under the various severity levels of the faults, two supply conditions are investigated: (i) Motor supplied by network fed and (ii) Motor supplied by inverter fed. Results obtained from experimental tests are presented to validate the study.
PL
W artykule opisano nowe narzędzie do wykrywania asymetrii wirnika w silniku indukcyjnym. W opisanej metodzie śledzone są wartości harmonicznych w napięciu Zero Sequence Voltage (różnicy między punktem zerowym zasilania I punktem zerowym uzwojenia stojana połączonego w gwiazdę.
Rocznik
Strony
30--33
Opis fizyczny
Bibliogr. 12 poz., rys., tab., wykr.
Twórcy
autor
  • University Mohammed V in Rabat, Ecole Normale Supérieure de l’enseignement Technique, and also a Research Engineer
  • Ecole Centrale Casablanca Morocco
autor
  • University Mohammed V in Rabat, Ecole Normale Supérieure de l’enseignement Technique, Morocco
autor
  • University Mohammed V in Rabat, Ecole Normale Supérieure de l’enseignement Technique, Morocco
Bibliografia
  • [1] F.Filippetti, A.Bellini and G.A. Capolino , Condition Monitoring and Diagnosis of Rotor Faults in Induction Machines: State of Art and Future Perspectives, Electrical Machines Design Control and Diagnosis (WEMDCD), IEEE Workshop on pp. 196-209, 2013
  • [2] Zagirnyak M., Mamchur D., Kalinov A., “Comparison of Induction Motor Diagnostic Methods Based on Spectra Analysis of Current and Instantaneous Power Signals, Przeglad Elektrotechniczny , R. 88 (2012), No. 12b, 221-224
  • [3] Ielyzaveta ISHKOVA, Ondřej VÍTEK, Detection and classification of faults in induction motor by means of motor current signature analysis and stray flux monitoring, Przegląd Elektrotechniczny, No/VOL: 04/2016 Page no. 166, 2016
  • [4] M. A. Cash, T. G. Habetler, G. B. Kliman, Insulation Failure Prediction in AC Machines Using Line-Neutral Voltages” IEEE Transactions on Industry Applications, Vol. 34, No 6, pp. 12341239,November/December 1998.
  • [5] H. Razik and G. Didier, A novel method of induction motor diagnosis using the line-neutral voltage” in Proc. EPE-PEMC, Riga, Latvia, Sep.2004.
  • [6] A.Khezzar, M. E. K.Oumaamar, M.Hadjami, M.Boucherma, H.Razik , Induction Motor Diagnosis Using Line Neutral Voltage Signatures, Industrial Electronics, IEEE Transactions on, Volume 56, Issue 11, Nov. 2009 pp:4581-4591.
  • [7] M. E. K. Oumaamar, A. Khezzar, M. Boucherma, H. Razik, R. N. Andriamalala, and L. Baghli, “Neutral voltage analysis for broken rotor bars detection in induction motors using Hilbert transform phase,” in Conf. Rec. 43rd IEEE IAS Annu. Meeting, New Orleans, LA, Sep. 23–27, 2007, pp. 1940–1947.
  • [8] Dahi, K.; Elhani, S.; Guedira, S., "Wound-rotor IM diagnosis method based on neutral voltage signal analysis," in Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE , vol., no., pp.965-971, Oct. 29 2014-Nov. 1 2014
  • [9] C. S. Staines, C. Caruana, G. M. Asher, and M. Sumner, “Sensorless control of induction machines at zero and low frequency using zero sequence currents,” IEEE Trans. Ind. Electron., vol. 53, no. 1, pp. 195–206, Dec. 2005.
  • [10] M.Boucherma, M.Yazid Kaikaa, A.Khezzar ,Park model of squirrel cage induction machine including space harmonics effects, Journal of ELECTRICAL ENGINEERING, VOL. 57, NO. 4, 2006, 193–199
  • [11] Ouachtouk, I.; El Hani, S.; Guedira, S.; Sadiki, L.; Dahi, K., "Modeling of squirrel cage induction motor a view to detecting broken rotor bars faults," in Electrical and Information Technologies (ICEIT), 2015 International Conference on , vol., no., pp.347-352, 25-27 March 2015
  • [12] Toomas VAIMANN , Anouar BELAHCEN, Javier MARTINEZ, Aleksander KILK, Detection of induction motor broken bars in grid and frequency converter supply, Przegląd Elektrotechniczny, No/VOL: 01/2014 Page no. 90, 2014
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9524130c-982f-4299-8775-ed5f60f8e7a9
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