Model and laboratory simulation of a induction motor for diagnostic purposes

• Autorzy: Swędrowski L. , Rusek J.
• Języki publikacji: EN

Abstrakty

EN

Statistics say that bearings are this part of induction motors which is most susceptible to damage. The equipment employed for bearing diagnostics usually makes use of vibrations as the criterion for technical condition of the bearings. A faulty bearing results in additional motor vibrations. They are reflected in the harmonic content of stator currents. In certain operating conditions the current signal is the sole source of information on the state of the motor. The paper presents a mathematical model of the motor, allowing for rotor eccentricities. Calculated spectra of the stator currents are presented for the cases of operation with rotor vibrations mapping with some approximation the vibrations caused by faulty bearings. The paper presents also the results of laboratory simulations for a motor put into vibrations of adjustable frequency. Vibrations of the motor housing simulate the rotor oscillations caused by a damaged bearing. The results of laboratory simulations permitted to define the relations linking vibrations of the air gap with the components in the stator current spectrum.

Słowa kluczowe

EN

induction motors; modeling; simulation; current measurement; fault diagnosis

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2009
• Tom: Vol. 16, nr 4
• Strony: 607--617
• Opis fizyczny: Bibliogr. 4 poz., rys., tab., wykr.

Twórcy

autor

Swędrowski L.

autor

Rusek J.

• Gdansk University of Technology, Faculty of Electrical and Control Engineering, G. Narutowicza 11/12, 80-952 Gdańsk, Poland,

Bibliografia

• [1] R.R. Schoen, T.G. Habetler, F. Karman, R.G. Bartheld: “Motor bearing damage detection using stator current monitoring”. IEEE Transactions on Industry Applications, vol. 31, no. 6, Nov/Dec 1995, pp. 1274-1279.
• [2] B. Yazici, G.B. Kliman: “An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current”. IEEE Transactions on Industry Applications, vol. 35, no. 2, March/April 1999, pp.442-452.
• [3] J. Rusek: “Computer implementation of the induction machine dynamical model accounting for broken bars, eccentricities, slotting and parallel branches”. Proc. ICEM 2000 Conference, Espo, Finland 2000, pp.868-872.
• [4] J. Rusek: “Categorization of Induction Machines Resulting from Their Harmonic-Balance Model”. Electromagnetics, no. 23, 2003, pp. 277-292.