Detection of induction motor broken bars in grid and frequency converter supply

• Autorzy: Vaimann T. , Belahcen A. , Martinez J. , Kilk A.

Identyfikatory

DOI

10.12915/pe.2014.01.22

Warianty tytułu

PL

Wykrywanie uszkodzonych prętów silnika indukcyjnego na podstawie widma częstotliwościowego prądu

• Języki publikacji: EN

Abstrakty

EN

This paper presents the experimental study of three-phase squirrel cage induction motor broken rotor bars diagnostics. Tests have been performed with two different machines, one through a frequency converter and the other supplied directly from grid. This compar ison has been presented, as the use of frequency converters changes the traditional current spectrum of the machine and hence the diagnostic of such machines becomes more difficult. Necessity for further study on the behavior of the frequency converter in the weak grid is pointed out

PL

W artykule zaprezentowano metodę diagnostyki trójfazowego silnika indukcyjnego z uszkodzonymi prętami. Zaprezentowano widmo sygnału prądowego różnych silników.

Słowa kluczowe

EN

condition monitoring; frequency converter; electric machines; induction motors

PL

diagnostyka silnika indukcyjnego; widmo częstotliwościowe

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2014
• Tom: R. 90, nr 1
• Strony: 90--94
• Opis fizyczny: Bibliogr. 14 poz., rys., tab.

Twórcy

autor

Vaimann T.

• Tallinn University of Technology, Department of Electrical Engineering, Ehitajate tee 5, 19086 Tallinn, Estonia

autor

Belahcen A.

• Aalto University, Department of Electrical Engineering, P.O. Box 13000, FI-00076 Aalto, Finland

autor

Martinez J.

• Aalto University, Department of Electrical Engineering, P.O. Box 13000, FI-00076 Aalto, Finland

autor

Kilk A.

• Tallinn University of Technology, Department of Electrical Engineering, Ehitajate tee 5, 19086 Tallinn, Estonia

Bibliografia

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• 3. Vaimann, T., Kallaste, A., Kilk, A., Using analysis of stator current for squirrel-cage induction motor rotor faults diagnostics, in Proc. ECT 2011, (2011), 245-251
• 4. Vaimann, T., Kallaste, A., Kilk, A., Sensorless detection of induction motor rotor faults using the Clarke vector approach, Scientific Journal of Riga Technical University, 29 (2011), 43-48
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• 6. Vaimann, T., Kallaste, A., Kilk, A., Overview of sensorless diagnostic possibilities of induction motors with broken rotor bars, in Proc. EPE 2011, (2011), 183-186
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• 12. Amaral, T., Pires, V., Martins, J., Pires, A., Crisostomo, M., Image processing to a neuro-fuzzy classifier for detection and diagnosis of induction motor stator fault, in Proc. IEEE IECON 2007, (2007), 2408-2413
• 13. Vaimann, T., Belahcen, A., Martinez, J., Kilk, A., Detection of Broken Bars in Frequency Converter Fed Induction Motor Using Park’s Vector Approach, in Proc. PQ 2012, (2012), 53-56
• 14. Vaimann, T., Kallaste, A., Kilk, A., Using Clarke Vector Approach for Stator Current and Voltage Analysis on Induction Motors with Broken Rotor Bars, Electronics and Electrical Engineering, 123 (2012), No. 7, 17-20