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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  4/2020 - 5

Investigation on Electromagnetic Performance of Induction Motor with Rotor Bar Faults considering Motor Current Signals

PARK, Y.-S. See more information about PARK, Y.-S. on SCOPUS See more information about PARK, Y.-S. on IEEExplore See more information about PARK, Y.-S. on Web of Science
 
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Download PDF pdficon (2,079 KB) | Citation | Downloads: 818 | Views: 1,620

Author keywords
current, fault, induction motor, torque, rotor

References keywords
fault(14), induction(11), motor(10), diagnosis(10), detection(10), faults(8), signature(7), motors(7), electronics(7), power(6)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2020-11-30
Volume 20, Issue 4, Year 2020, On page(s): 37 - 44
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2020.04005
Web of Science Accession Number: 000594393400005
SCOPUS ID: 85098194866

Abstract
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This paper deals with electromagnetic torque and current characteristics of an induction motor with rotor bar breakage, and electromagnetic field analysis based on finite element method and motor current signal analysis is performed according to various load conditions. Although various monitoring techniques of rotor bar breakages were dealt with in previous studies using MCSA, they cannot be, in fact, applied to every case. Therefore, in this paper, electromagnetic field analysis of induction motor with various rotor bar fault conditions is performed to establish fault monitoring criteria in MCSA method. This study employs 0.4(kW) squirrel cage induction motor, and experimentally measured torque and current supports the analysis results.


References | Cited By  «-- Click to see who has cited this paper

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[CrossRef] [Full Text] [Web of Science Times Cited 3]


[2] D. Reljic, D. Jerkan, D. Marcetic, D. Oros, "Broken bar fault detection in im operating under no-load condition," Advances in Electrical and Computer Engineering, vol.16, no.4, pp.63-70, 2016,
[CrossRef] [Full Text] [Web of Science Times Cited 12]


[3] D. Matic, Z. Kanovic, "Vibration based broken bar detection in induction machine for low load conditions," Advances in Electrical and Computer Engineering, vol.17, no.1, pp.49-54, 2017,
[CrossRef] [Full Text] [Web of Science Times Cited 8]


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[CrossRef] [Full Text] [Web of Science Times Cited 7]


[5] A. Metatla, S. Benzahioul, T. Bahi, D. Lefebvre, "On line current monitoring and application of a residual method for eccentricity fault detection," Advances in Electrical and Computer Engineering, vol. 11, no. 1, pp. 69-72, Feb. 2011.
[CrossRef] [Full Text] [Web of Science Times Cited 6]


[6] A. Simion, "Study of the induction machine unsymmetrical condition using in total fluxes equations," Advances in Electrical and Computer Engineering, vol. 10, no. 1, pp. 34-41, Feb. 2010.
[CrossRef] [Full Text] [Web of Science Times Cited 4]


[7] M. Drif, A. J. M. Cardoso, "Stator fault diagnostics in squirrel cage three-phase induction motor drives using the instantaneous active and reactive power signature analyses," IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1348-1360, May 2014.
[CrossRef] [Web of Science Times Cited 149]


[8] C. P. Salomon, C. Ferreira, G. Lambert-Torres, C. E. Teixeira, L. E. Borges Da Silva, W. C. Santana, E. L. Bonaldi, L. E. L. De Oliveira, "Electrical signature analysis for condition monitoring of permanent magnet synchronous machine," Advances in Electrical and Computer Engineering, vol. 18, no. 4, pp. 91-98, Nov. 2018.
[CrossRef] [Full Text] [Web of Science Times Cited 4]


[9] H. Saavedra, J.-R. Riba, L. Romeral, "Detection of inter-turn faults in five-phase permanent magnet synchronous motors," Advances in Electrical and Computer Engineering, vol. 14, no. 4, pp. 49-54, Nov. 2014.
[CrossRef] [Full Text] [Web of Science Times Cited 11]


[10] R. S. Arashloo, M. Salehifar, H. Saavedra, J. L. Romeral Martinez, "Efficiency evaluation of five-phase outer-rotor fault-tolerant BLDC drives under healthy and open-circuit faulty conditions," Advances in Electrical and Computer Engineering, vol. 14, no. 2, pp. 145-152, May 2014.
[CrossRef] [Full Text] [Web of Science Times Cited 2]


[11] M. Aktas, "A novel method for inverter faults detection and diagnosis in pmsm drives of HEVS based on discrete wavelet transform," Advances in Electrical and Computer Engineering, vol. 12, no. 4, pp. 33-38, Nov. 2012.
[CrossRef] [Full Text] [Web of Science Times Cited 9]


[12] B.-G. Gu, "Study of IPMSM interturn faults part II: online fault parameter estimation," IEEE Transactions on Power Electronics, vol. 31, no. 10, pp. 7214-7223, Oct. 2016.
[CrossRef] [Web of Science Times Cited 24]


[13] H. Wang, S. Lu, G. Qian, J. Ding, Y. Liu, Q. Wang, "A two-step strategy for online fault detection of high-resistance connection in BLDC motor," IEEE Transactions on Power Electronics, vol. 35, no. 3, pp. 3043-3053, Mar. 2020.
[CrossRef] [Web of Science Times Cited 28]


[14] M. Salehifar, R. S. Arashloo, J. M. Moreno-Equilaz, V. Sala, L. Romeral, "Fault detection and fault tolerant operation of a five phase PM motor drive using adaptive model identification approach," IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 2, no. 2, pp. 212-223, Jun. 2014.
[CrossRef] [Web of Science Times Cited 78]


[15] L. Dong, J. Jatskevich, Y. Huang, M. Chapariha, J. Li, "Fault diagnosis and signal reconstruction of hall sensors in brushless permanent magnet motor drives," IEEE Transactions on Energy Conversion, vol. 31, no. 1, pp. 118-131, Mar. 2016.
[CrossRef] [Web of Science Times Cited 39]


[16] X. Wang, Z. Wang, Z. Xu ; M. Cheng, W. Wang, Y. Hu, "Comprehensive diagnosis and tolerance strategies for electrical faults and sensor faults in dual three-phase PMSM drives," IEEE Transactions on Power Electronics, vol. 34, no. 7, pp. 6669-6684, Jul. 2019.
[CrossRef] [Web of Science Times Cited 141]


[17] Q. Zhang, M. Feng, "Fast fault diagnosis method for hall sensors in brushless DC motor drives," IEEE Transactions on Power Electronics, vol. 34, no. 3, pp. 2585-2596, Mar. 2019.
[CrossRef] [Web of Science Times Cited 33]


[18] B. Ayhan, M.-Y. Chow, M.-H. Song, "Multiple signature processing-based fault detection schemes for broken rotor bar in induction motors," IEEE Transactions on Energy Conversion, vol. 20, no. 2, pp. 336-343, Jun 2005.
[CrossRef] [Web of Science Times Cited 84]


[19] J. Faiz, B. M. Ebrahimi, H. A. Toliyat, "Effect of magnetic saturation on static and mixed eccentricity fault diagnosis in induction motor," IEEE Transactions on Magnetics, vol. 45, no. 8, pp. 3137-3144, Aug. 2009.
[CrossRef] [Web of Science Times Cited 59]


[20] Jee-Hoon Jung, Jong-Jae Lee, and Bong-Hwan Kwon, "Online diagnosis of induction motors using MCSA," IEEE Transactions on Industrial Electronics, vol. 53, no. 6, pp. 1842-1852, Dec. 2006.
[CrossRef] [Web of Science Times Cited 388]


[21] A. Naha, A. K. Samanta , A. Routray, A. K. Deb, "A method for detecting half-broken rotor bar in lightly loaded induction motors using current," IEEE Transactions on Instrumentation and Measurement, vol. 65, no. 7, pp. 1614-1625, Jul. 2016.
[CrossRef] [Web of Science Times Cited 85]


[22] A. Bellini, F. Filippetti,G. Franceschini, C. Tassoni, R. Passaglia, M. Saottini, G. Tontini, M. Giovannini, A. Rossi, "On-field experience with online diagnosis of large induction motors cage failures using MCSA," IEEE Transactions on Industry Applications, vol.38, no. 4, pp. 1045-1053, July/Aug. 2002.
[CrossRef] [Web of Science Times Cited 133]


[23] W. T. Thomas, M. Fenger, "Current signature analysis to detect induction motor faults," IEEE Industry Applications Magazine, vol. 7, no. 4, pp. 26-34, Jul./Aug. 2001.
[CrossRef] [Web of Science Times Cited 678]


[24] M. E. H. Benbouzid, "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, Oct. 2000.
[CrossRef] [Web of Science Times Cited 966]


[25] M. R. Guasp, M. F. Cabanas, J. A. A. Daviu, M. P. Sanchez, C. H. R. Garcia, "Influence of nonconsecutive bar breakages in motor current signature analysis for the diagnosis of rotor faults in induction motors," IEEE Transactions on Energy Conversion, vol.25, no.1, pp.80-89, Mar. 2010.
[CrossRef] [Web of Science Times Cited 78]




References Weight

Web of Science® Citations for all references: 3,029 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 117 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-27 04:27 in 151 seconds.




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