Sensorless Detection of Induction Motor Rotor Faults Using the Clarke Vector Approach
DOI:
https://doi.org/10.2478/v10144-011-0007-9Keywords:
Clarke transformation, diagnostics, electric machines, induction machines, rotor faultsAbstract
Due to their rugged build, simplicity and cost effective performance, induction motors are used in a vast number of industries, where they play a significant role in responsible operations, where faults and downtimes are either not desirable or even unthinkable. As different faults can affect the performance of the induction motors, among them broken rotor bars, it is important to have a certain condition monitoring or diagnostic system that is guarding the state of the motor. This paper deals with induction motor broken rotor bars detection, using Clarke vector approach.References
A. Bonnett and G. Soukup, "Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motor," in IEEE Transactions on Industry Applications, vol. 28, no. 4, July/August 1992, pp. 921-937.
J. Faiz, B. Ebrahimi and M. Sharifian, "Time stepping finite element analysis of broken bars fault in a three-phase squirrel-cage induction motor," in Progress in Electromagnetic Research, PIER 68, 2007, pp. 53-70.
T. Lindh, "On the condition monitoring of induction machines," Doctoral dissertation, Lappeenranta University of Technology, Lappeenranta, Finland, 2003.
R. Fišer and S. Ferkolj, "Calculation of magnetic field asymmetry of induction motor with rotor faults," in Proceedings of the 1998 IEEE Mediterranean Electrotechnical Conference, Tel Aviv, Israel, vol. 2, pp. 1175-1179.
R. Fišer and H. Lavric, "On-line detection and diagnostics of induction motor rotor faults using spectral analyses of stator current," in Proceedings of the 5th International Symposium on Topical Problems in the Field of Electrical and Power Engineering, Doctoral School of Energy and Geotechnology, January 14-19, Kuressaare, Estonia, 2008, pp. 7-11.
R. Belmans and K. Hameyer, "Different approaches to the preventive maintenance of induction motors," in Proceedings of the International Conference on Electrical Machines ICEM'96, September 10-12, Vigo, Spain, 1996, vol. 2, pp. 423-428.
P. Jover, "Current-, force and vibration-based techniques for induction motor condition monitoring," Doctoral dissertation, Helsinki University of Technology, Helsinki, Finland, 2007.
T. Vaimann, A. Kallaste and A. Kilk, "Using analysis of stator current for squirrel-cage induction motor rotor faults diagnostics," in Proceedings of the 6th International Conference on Electrical and Control Techniques ECT-2011, May 5-6, Kaunas, Lithuania, 2011, pp. 245-251.
L. Szabo, E. Kovacs, F. Toth, G. Fekete and J. Dobai, "Rotor faults detection method for squirrel cage induction machines based on the Park's vector approach," in Annals of the University of Oradea, Fascicle of Electrotechnics, Section of Computer Science and Control Systems, 2007.
M. Benbouzid, "A review of induction motors signature analysis as a medium for faults detection," in Proceedings of the 1998 International Conference of the IEEE Industrial Electronics Society, Aachen Germany, vol. 4, pp. 1908-1913.
A. Cardoso and E. Saraiva, "Computer-aided detection of airgap eccentricity in operating three-phase induction motors by Park's vector approach," in IEEE Transactions on Industrial Applications, vol. 29, no. 5, September/October 1993, pp. 897-901.
T. Vaimann, A. Kallaste and A. Kilk, "Overview of sensorless diagnostic possibilities of induction motors with broken rotor bars," in Proceedings of the 12th International Scientific Conference on Electrical Power Engineering EPE-2011, May 17-19, Kouty nad Desnou, Czech Republic, 2011, pp. 183-186.
R. Fišer and S. Ferkolj, "Application of a finite element method to predict damaged induction motor performance," in IEEE Transactions on Magnetics, vol. 37, no. 5, September 2001, pp. 3635-3639.
Downloads
Published
Issue
Section
License
Copyright (c) 2011 Toomas Vaimann, Ants Kallaste, Aleksander Kilk (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.