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http://dx.doi.org/10.5762/KAIS.2016.17.7.492

Diagnosis of Induction Motor Faults Using Inverter Input Current Analysis  

Han, Jungho (Department of Railway Electrical and Signaling Engineering, Seoul National University of Science and Technology)
Song, Joong-Ho (Department of Electrical and Information Engineering, Seoul National University of Science and Technology)
Choi, Kyu-Hyoung (Department of Railway Electrical and Signaling Engineering, Seoul National University of Science and Technology)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.7, 2016 , pp. 492-498 More about this Journal
Abstract
It is well known that since abrupt faults in induction motors tend to lead to subsequent faults and deterioration of the drive apparatus, motor faults may lead to several operating restrictions, such as security problems and economic loss. A lot of research has been done in the area of diagnosis to detect machine faults and to prevent catastrophic hazards in the motor drive system. This paper presents a new method of motor current signature analysis in which the DC-link current of the inverter-driven induction motor system, where a single current sensor is employed instead of three AC current sensors, is measured, and fast Fourier transform analysis is performed. This proposed method makes it possible to easily discern and clearly separate the motor fault current signature from the normal operation current flowing through the stator and rotor windings.
Keywords
Dc-link current; Fault diagnosis; induction motors; inverter; motor current signature analysis;
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1 A. Bellini, F. Filippetti, C. Tassoni, and G.-A. Capolino, "Advances in diagnostic techniques for induction machines," IEEE Trans. Ind. Electron, vol. 55, no. 12, pp. 4109-4126, Dec. 2008. DOI: http://dx.doi.org/10.1109/TIE.2008.2007527   DOI
2 C. Concari, G. Franceschini, and C. Tassoni, "Differential diagnosis based on multivariable monitoring assess induction machines rotor conditions," IEEE Trans. Ind. Electron, vol. 55, no. 12, pp. 4156-4166, Dec. 2008. DOI: http://dx.doi.org/10.1109/TIE.2008.2003212   DOI
3 F. Immovilli, C. Bianchini, M. Cocconcelli, A. Bellini, and R. Rubini,"Bearing fault model for induction motor with externally induced vibration," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3408-3418, Aug. 2013. DOI: http://dx.doi.org/10.1109/TIE.2012.2213566   DOI
4 Y. Da, X. Shi, and M. Krishnamurthy,"A new approach to fault diagnostics for permanent magnet synchronous machines using electromagnetic signature analysis," IEEE Trans. Power Electron, vol. 28, no. 8, pp. 4104-4112, 2013. DOI: http://dx.doi.org/10.1109/TPEL.2012.2227808   DOI
5 P. M. De La Barrera, G. R. Bossio, and J. A. Solsona, "High-resistance connection detection in induction motor drives using signal injection," IEEE Trans. Ind. Electron, vol. 61, no. 7, pp. 3563-3573, Jul. 2014. DOI: http://dx.doi.org/10.1109/TIE.2013.2278957   DOI
6 I. Georgakopoulos, E. Mitronikas, and A. Safacas, "Detection of induction motor faults in inverter drives using inverter input current analysis," IEEE Trans. Ind. Electron., vol. 58, no. 9, pp. 4365-4373, Sep. 2011. DOI: http://dx.doi.org/10.1109/TIE.2010.2093476   DOI
7 J. Faiz, V. Ghorbanian, and B. M. Ebrahimi, "EMD-based analysis of industrial induction motors with broken rotor bars for identification of operating point at different supply modes," IEEE Trans. Ind. Informat, vol. 10, no. 2, pp. 957-966, May 2014. DOI: http://dx.doi.org/10.1109/TII.2013.2289941   DOI
8 B. Xu, L. Sun, L. Xu, and G. Xu,"Improvement of the Hilbert method via ESPRIT for detecting rotor fault in induction motors at low slip," IEEE Trans. Energy Convers, vol. 28, no. 1, pp. 225-233, Mar. 2013. DOI: http://dx.doi.org/10.1109/TEC.2012.2236557   DOI