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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
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: 956 | Views: 2,097

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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[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] [SCOPUS Times Cited 11]


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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] [SCOPUS Times Cited 10]


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[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS Times Cited 5]


[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 158] [SCOPUS Times Cited 203]


[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.
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[CrossRef] [Full Text] [Web of Science Times Cited 11] [SCOPUS Times Cited 15]


[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] [SCOPUS 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] [SCOPUS Times Cited 11]


[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 25] [SCOPUS Times Cited 36]


[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 33] [SCOPUS Times Cited 43]


[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 81] [SCOPUS Times Cited 95]


[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 42] [SCOPUS Times Cited 66]


[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 174] [SCOPUS Times Cited 211]


[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 39] [SCOPUS Times Cited 48]


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[CrossRef] [Web of Science Times Cited 84] [SCOPUS Times Cited 100]


[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 60] [SCOPUS Times Cited 64]


[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 399] [SCOPUS Times Cited 508]


[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 87] [SCOPUS Times Cited 104]


[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] [SCOPUS Times Cited 170]


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[CrossRef] [Web of Science Times Cited 694] [SCOPUS Times Cited 984]


[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 988] [SCOPUS Times Cited 1384]


[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] [SCOPUS Times Cited 90]




References Weight

Web of Science® Citations for all references: 3,141 TCR
SCOPUS® Citations for all references: 4,182 TCR

Web of Science® Average Citations per reference: 121 ACR
SCOPUS® Average Citations per reference: 161 ACR

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 2024-12-19 11:54 in 173 seconds.




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