Czasopismo
2012
|
R. 88, nr 12b
|
221-224
Tytuł artykułu
Autorzy
Wybrane pełne teksty z tego czasopisma
Warianty tytułu
Porównanie metod diagnostycznych silnika indukcyjnego opartych na analizie spektralnej prądu oraz na sygnałach mocy chwilowej
Języki publikacji
Abstrakty
The comparison of effectiveness of induction motors fault detection methods based on experimental results analysis is presented. Researches showed possible disadvantages of the current spectra analysis method and advantages of the method based on phase power and total three-phase instantaneous power spectra analysis.
W pracy zaprezentowano porównanie skuteczności metod detekcji uszkodzeń silników indukcyjnych bazujące na analizie wyników eksperymentalnych. Badania pokazują możliwe słabe strony metody prądowej analizy spektralnej i wskazują na korzyści z używania metody opartej na analizie spektralnej całkowitej mocy chwilowej. (Porównanie metod diagnostycznych silnika indukcyjnego opartych na analizie spektralnej prądu oraz na sygnałach mocy chwilowej).
Czasopismo
Rocznik
Tom
Strony
221-224
Opis fizyczny
Bibliogr. 13 poz., rys., tab.
Twórcy
Bibliografia
- [1] Thorsen O. V. and. Dalva M, A survey of faults on induction motors in offshore oil industry, petrochemical industry, gas terminals, and oil refineries, IEEE Transactions on Industry Applications, vol. 31, no. 5, pp. 1186–1196, Sep./Oct. 1995.
- [2] Benbouzid M. E. H.and Kliman G. B., What stator current processing-based technique to use for induction motor rotor faults diagnosis?, IEEE Transactions on Energy Conversion, vol. 18, no. 2, pp. 238–244, Jun. 2003.
- [3] Onel I. Y., Dalci K. B. and Senol I., Detection of outer raceway bearing defects in small induction motors using stator current analysis, Sadhana, vol. 30, no. 6, pp. 713–722, Dec. 2005.
- [4] Drif M., Benouzza N., Bendiabdellah A. and Dente J.A., The use of instantaneous power spectrum in the detection of rotor cage faults on 3-Phase induction motors. “ELECO ‘99” International conference on electrical and electronics engineering, pp. 351-355.
- [5] Nemec M., Drobnič K., Nedeljković D., Fišer R. and Ambrožič V. Detection of broken bars in induction motor through the analysis of supply voltage modulation IEEE Transactions on Industrial Electronics, vol. 57, No. 8, pp. 2879-2888, Aug. 2010
- [6] Drobnič K., Nemec M., Fišer R., Ambrožič V. Simplified detection of broken rotor bars in induction motors controlled in field reference frame Control Engineering Practice, No. 20 (2012), pp. 761–769
- [7] Benbouzid M. E .H. A Review of Induction Motors Signature Analysis as a Medium for Faults Detection, IEEE Transactions on Industrial Electronics, vol. 47, No. 5, pp. 984-993. Sep/Oct 2000
- [8] Zagirnyak M.V., Mamchur D.G., Kalinov A.P., Elimination of the Influence of Supply Mains Low-Quality Parameters on the Results of Induction Motor Diagnostics, in Proc. XIX International Conference on Electrical Machines - ICEM 2010, Rome. IEEE Catalog Number: CFP1090B-CDR. ISBN: 978-1-4244-4175-4. Library of Congress: 2009901651. RF-009474.
- [9] Fišer R., Lavrič H., Ambrožič V., Bugeza M. Diagnostic system for on-line detection of rotor faults in induction motor drives Diagnostics for Electric Machines, Power Electronics & Drives (SDEMPED), 2011 IEEE International Symposium on, pp. 77-83
- [10] Mamchur D. An instantaneous power spectra analysis as a method for induction motors fault detection, Proceedings of OWD’2011, 22-25 October 2011, Wisla, pp. 407-412, ISBN 83-922242-4-0.
- [11] Bonnett A.H., Soukup G.C. Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motor IEEE Industry Applications, vol. 28., Iss. 4, pp. 921-937. Aug. 1992.
- [12] Dorrell D. G., Thomson W. T., Roach S. Combined effects of static and dynamic eccentricity on air gap flux waves and the application of current monitoring to detect dynamic eccentricity in 3-phase induction motors Electrical Machines and Drives. Seventh International Conference on (Conf. Publ. No. 412), Durham, UK, pp. 151–155, 1995.
- [13] Cusido J., L.Romeral, J.A. Ortega, J.A. Rosero, A. Garcia Espinosa, Fault Detection in Induction Machines Using Power Spectral Density in Wavelet Decomposition IEEE Transactions on Industrial Electronics. vol. 55, no. 2, pp. 633–643. Feb. 2008.
Typ dokumentu
Bibliografia
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