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On Line Current Monitoring and Application of a Residual Method for Eccentricity Fault DetectionMETATLA, A. , BENZAHIOUL, S. , BAHI, T. , LEFEBVRE, D.
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detection, diagnosis, eccentricity, monitoring, residuals
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
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.
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 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]
 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]
 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]
 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]
 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]
 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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