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Diagnostics of induction motor based on spectral analysis of stator current signal with application of fuzzy classifier

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
New implementation of diagnostics of imminent failure conditions of induction motor was presented. Software to recognize the current of induction motor was implemented. System of current recognition is based on a study of the frequency spectrum of stator current signal. Fuzzy classifier was applied. The studies were carried out for four imminent failure conditions of induction motor. The results confirm that the system can be useful for detecting damage and protect the engines.
Rocznik
Strony
299--302
Opis fizyczny
Bibliogr. 12 poz., rys., wykr.
Twórcy
autor
  • University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków
autor
  • University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków
autor
  • University of Science and Technology, Al. Mickiewicza 30, 30-059 Kraków
Bibliografia
  • [1] Pietrowski S., Pisarek B., Gumienny, G., Computer-aided control of high-quality cast iron, Archives of Foundry Engineering, 2008, Vol. 8, iss. 1, pp. 101-108.
  • [2] Stawarz M., Quality control of cast brake discs, Archives of Foundry Engineering, 2008, Vol. 8, iss. 1, pp. 119-122.
  • [3] Macioł A., Stawowy A., Wrona R., Shell expert system for technological knowledge acquisition and access, Archives of Foundry Engineering, 2008 Vol. 8 iss. 3 pp. 75–80.
  • [4] Wrona R., Stawowy A., Macioł A., Methodological aspects of systemic designing of foundry plants, Archives of Foundry Engineering, 2008 Vol. 8 iss. 3 pp. 125–128.
  • [5] Dańko J., Zych J., Dańko R., Diagnostic methods of technological properties and casting cores quality, Archives of Metallurgy and Materials, 2009 Vol. 54 iss. 2 pp. 381–392.
  • [6] Głowacz Z., Zdrojewski A.: Diagnostics of commutator DC motor using spectral analysis method, Przegląd Elektrotechniczny, 85 (2009) nr 1, pp. 147-150.
  • [7] Glinka T., Degradation of electrical machines windings insulation in time, Przegląd Elektrotechniczny, 2008 nr 7, pp. 8–11.
  • [8] Szabat K., Orłowska-Kowalska T., Adjustment of classical and fuzzy logic speed controllers for electrical drives with elastic joint, Proceedings of XVI International Conference on Electrical Machines (ICEM 2004), Cracow, 2004.
  • [9] Sałat R., Osowski S., Siwek K., Principal Component Analysis for feature selection at the diagnosis of electrical circuits, Przegląd Elektrotechniczny, 2003, no 10, pp. 667-670.
  • [10] Kluska J., Wiktorowicz K., Integral evaluations for a class of multivariable continuous fuzzy control systems. 15th IFAC World Congress, 21-26 July 2002, 1-6, Barcelona (Spain), 2002.
  • [11] Kowal M., Korbicz J., Robust fault detection using neurofuzzy models, Przegląd Elektrotechniczny, 2006, no 1, pp. 32-36.
  • [12] The MARF Development Group, Modular Audio Recognition Framework v.0.3.0-devel-20050606 and its Applications, Application note, Montreal, Quebec, Canada, 2005.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-be3fe8d3-82f1-45b5-8045-f2a2803802b6
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