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JCR Impact Factor: 0.595
JCR 5-Year IF: 0.661
Issues per year: 4
Current issue: Nov 2017
Next issue: Feb 2018
Avg review time: 106 days


PUBLISHER

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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LATEST NEWS

2017-Jun-14
Thomson Reuters published the Journal Citations Report for 2016. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.595, and the JCR 5-Year Impact Factor is 0.661.

2017-Apr-04
We have the confirmation Advances in Electrical and Computer Engineering will be included in the EBSCO database.

2017-Feb-16
With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

2017-Jan-30
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2016-Dec-17
IoT is a new emerging technology domain which will be used to connect all objects through the Internet for remote sensing and control. IoT uses a combination of WSN (Wireless Sensor Network), M2M (Machine to Machine), robotics, wireless networking, Internet technologies, and Smart Devices. We dedicate a special section of Issue 2/2017 to IoT. Prospective authors are asked to make the submissions for this section no later than the 31st of March 2017, placing "IoT - " before the paper title in OpenConf.

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  1/2011 - 11

On Line Current Monitoring and Application of a Residual Method for Eccentricity Fault Detection

METATLA, A. See more information about METATLA, A. on SCOPUS See more information about METATLA, A. on IEEExplore See more information about METATLA, A. on Web of Science, BENZAHIOUL, S. See more information about  BENZAHIOUL, S. on SCOPUS See more information about  BENZAHIOUL, S. on SCOPUS See more information about BENZAHIOUL, S. on Web of Science, BAHI, T. See more information about  BAHI, T. on SCOPUS See more information about  BAHI, T. on SCOPUS See more information about BAHI, T. on Web of Science, LEFEBVRE, D. See more information about LEFEBVRE, D. on SCOPUS See more information about LEFEBVRE, D. on SCOPUS See more information about LEFEBVRE, D. on Web of Science
 
Click to see author's profile on See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (503 KB) | Citation | Downloads: 858 | Views: 2,917

Author keywords
detection, diagnosis, eccentricity, monitoring, residuals

References keywords
induction(6), energy(4), eccentricity(4), conversion(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-02-27
Volume 11, Issue 1, Year 2011, On page(s): 69 - 72
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.01011
Web of Science Accession Number: 000288761800011
SCOPUS ID: 79955979610

Abstract
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Full text preview
This work concerns the monitoring and diagnosis of faults in induction motors. We develop an approach based on residual analysis of stator currents to detect and diagnose faults eccentricity static, dynamic and mixed in three phase induction motor. To simulate the behavior of motor failure, a model is proposed based on the approach of magnetically coupled coils. The simulation results show the importance of the approach applied for the detection and diagnosis of fault in three phase induction motor.


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

[1] M. E. H. Benbouzid, "Bibliography on induction motors faults detection and diagnosis," IEEE Trans. on Energy Conversion, Vol. 14, No. 4, 1999.
[CrossRef] [Web of Science Times Cited 115] [SCOPUS Times Cited 167]


[2] M. E. H. Benbouzid, G. A. Capolino, "A object-oriented power engineering laboratory," IEEE Trans. on power systems, Vol. 11, No. 4, November 1996.
[CrossRef] [Web of Science Times Cited 5] [SCOPUS Times Cited 10]


[3] W. T. Thomson, D. Rankin, D.G. Dorrell, "On line current monitoring to diagnose air-gap eccentricity in large three-phase induction motors industrial case historiques verify the predections," IEEE Trans. On Energy conversion Vol, 14, No. 4, 1999.
[CrossRef] [SCOPUS Times Cited 118]


[4] T. M. Layadi, L. Abed, N. Khenfer, "Structure neuronale hybride pour le diagnostic des defauts statorique de la machine asynchrone," 4th International Conference on Computer Integrated Manufactring CIP'2007.

[5] S. Nandi, M. Bharadwaj, H. A. Toliyat, "Performance analysis of a three-phase induction motor under mixed eccentricity condition," IEEE Trans. on Energy Conversion, Vol. 17, No. 3, 2002.
[CrossRef] [Web of Science Times Cited 138] [SCOPUS Times Cited 171]


[6] A. Metatla, T. Bahi, I. Hadjadj, "Diagnosis of mixed eccentricity in asynchronous machine," International Review on Modelling and Simulations, Vol. 1, No. 1, Italy, 2008.

[7] M. E. H. Benbouzid, M. Vieira, C. Theys, "Induction motor's faults detection and localization using stator current advanced signal processing techniques," IEEE Trans. on Power Electronics, Vol. 14, No. 1, pp. 14 - 22, 1999.
[CrossRef] [SCOPUS Times Cited 236]


[8] R. N. Andriamalala, H. Razik, L. Baghli, F. M. Sargos, "Eccentricity fault diagnosis of a dual-stator winding induction machine drive considering the slotting effects," IEEE Trans. on Industrial electronics, Vol. 55, No. 12, December 2008.
[CrossRef] [Web of Science Times Cited 36] [SCOPUS Times Cited 47]


[9] H. A. Toliyat, T. A. Lipo, "Transient analysis of cage induction machines under stator, rotor bar and end ring faults," IEEE Trans. on Energy Conversion, Vol, 10, pp. 241-247, 1995.
[CrossRef] [SCOPUS Times Cited 360]


References Weight

Web of Science® Citations for all references: 294 TCR
SCOPUS® Citations for all references: 1,109 TCR

Web of Science® Average Citations per reference: 33 ACR
SCOPUS® Average Citations per reference: 123 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 2017-12-12 01:57 in 44 seconds.




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


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