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JCR Impact Factor: 1.102
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Issues per year: 4
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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: 130 | Views: 191

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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Full text preview
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 8] [SCOPUS Times Cited 7]


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[CrossRef] [Full Text] [Web of Science Times Cited 6]


[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 8]


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[CrossRef] [Full Text] [Web of Science Times Cited 4] [SCOPUS 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 105] [SCOPUS Times Cited 118]


[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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[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.
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[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]


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[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 12] [SCOPUS Times Cited 17]


[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 3] [SCOPUS Times Cited 3]


[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 47] [SCOPUS Times Cited 59]


[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.
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[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.
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[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 5] [SCOPUS Times Cited 9]


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[CrossRef] [Web of Science Times Cited 48] [SCOPUS Times Cited 50]


[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 323] [SCOPUS Times Cited 415]


[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 52] [SCOPUS Times Cited 62]


[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 119] [SCOPUS Times Cited 151]


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[CrossRef] [Web of Science Times Cited 847] [SCOPUS Times Cited 1173]


[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 63] [SCOPUS Times Cited 71]




References Weight

Web of Science® Citations for all references: 2,393 TCR
SCOPUS® Citations for all references: 3,184 TCR

Web of Science® Average Citations per reference: 92 ACR
SCOPUS® Average Citations per reference: 122 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 2021-03-01 10:23 in 160 seconds.




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