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JCR Impact Factor: 0.700
JCR 5-Year IF: 0.700
SCOPUS CiteScore: 1.8
Issues per year: 4
Current issue: Aug 2024
Next issue: Nov 2024
Avg review time: 56 days
Avg accept to publ: 60 days
APC: 300 EUR


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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2024-Jun-20
Clarivate Analytics published the InCites Journal Citations Report for 2023. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.700 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.600.

2023-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2022. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.800 (0.700 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 1.000.

2023-Jun-05
SCOPUS published the CiteScore for 2022, computed by using an improved methodology, counting the citations received in 2019-2022 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2022 is 2.0. For "General Computer Science" we rank #134/233 and for "Electrical and Electronic Engineering" we rank #478/738.

2022-Jun-28
Clarivate Analytics published the InCites Journal Citations Report for 2021. The InCites JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.825 (0.722 without Journal self-cites), and the InCites JCR 5-Year Impact Factor is 0.752.

2022-Jun-16
SCOPUS published the CiteScore for 2021, computed by using an improved methodology, counting the citations received in 2018-2021 and dividing the sum by the number of papers published in the same time frame. The CiteScore of Advances in Electrical and Computer Engineering for 2021 is 2.5, the same as for 2020 but better than all our previous results.

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  1/2011 - 11

 HIGH-IMPACT PAPER 

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
 
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Download PDF pdficon (503 KB) | Citation | Downloads: 1,375 | Views: 5,488

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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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

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Cited-By SCOPUS

SCOPUS® Times Cited: 10
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Cited-By CrossRef

[1] Investigation on Electromagnetic Performance of Induction Motor with Rotor Bar Faults considering Motor Current Signals, PARK, Y.-S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 4, Volume 20, 2020.
Digital Object Identifier: 10.4316/AECE.2020.04005
[CrossRef] [Full text]

[2] A new scheme for multiple fault detection and isolation for rotational mechatronic systems through analytical redundancy and adaptive filtering, Villarreal López, Edwin, DYNA, ISSN 2346-2183, Issue 209, Volume 86, 2019.
Digital Object Identifier: 10.15446/dyna.v86n209.73363
[CrossRef]

[3] Noise and Vibration Monitoring for Premium Efficiency IE 3 Three-Phase Induction Motors, NISTOR, C. G., SCUTARU, G., CAMPEANU, R., CERNAT, M., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 15, 2015.
Digital Object Identifier: 10.4316/AECE.2015.03017
[CrossRef] [Full text]

[4] Experimental System for Monitoring and Diagnosis of a Static Power Converter, IVANOV, V. I., BROJBOIU, M. D., IVANOV, S. S., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 2, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.02018
[CrossRef] [Full text]

[5] Fault detection and diagnosis of eccentricity in a wind generator, Merabet, H., Bahi, T., Soufi, Y., 2013 Eighth International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER), ISBN 978-1-4673-5271-0, 2013.
Digital Object Identifier: 10.1109/EVER.2013.6521522
[CrossRef]

[6] Detailed Analysis of Rotor Eccentricity Fault Signatures in Induction Motors using DWT-FFT Technique, Bousseksou, Radouane, Bessous, Noureddine, Zarour, Laid, Sbaa, Salim, Pusca, Remus, Raphael, Romary, Rezaoui, Mohamed Mounir, Merzouk, Imad, Borni, Abdelhalim, 2022 19th International Multi-Conference on Systems, Signals & Devices (SSD), ISBN 978-1-6654-7108-4, 2022.
Digital Object Identifier: 10.1109/SSD54932.2022.9955688
[CrossRef]

[7] MONITORING AND CONTROL DEVICES: THE WAY TO IMPROVE EFFICIENCY AND RELIABILITY, Maia, Pedro, Ferreira, Fernando J. T. E., Apostolo, Pedro, Pereira, Fernando J. G., 2018 Petroleum and Chemical Industry Conference Europe (PCIC Europe), ISBN 978-3-9524799-2-6, 2018.
Digital Object Identifier: 10.23919/PCICEurope.2018.8491408
[CrossRef]

[8] Induction motor failure identification by analyzing structured residues, Metatla, Abderrezak, Benzahioul, Samia, Haddad, Salim, 2014 Ninth International Conference on Ecological Vehicles and Renewable Energies (EVER), ISBN 978-1-4799-3787-5, 2014.
Digital Object Identifier: 10.1109/EVER.2014.6844081
[CrossRef]

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


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