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Exploring the Detectability of Short-Circuit Faults in Inverter-Fed Induction Motors
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-9701-4203
Laboratory of Knowledge and Intelligent Computing, Department of Computer Engineering, Technological Educational Institute of Epirus Arta, Greece.
Laboratory of Knowledge and Intelligent Computing, Department of Computer Engineering, Technological Educational Institute of Epirus Arta, Greece.
Department of Electrical, Computer and Biomedical Engineering, University of Pavia, 27100 Pavia, Italy .
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2018 (English)In: Proceedings IECON 2018: 44th Annual Conference of the IEEE Industrial Electronics Society, IEEE, 2018, p. 5930-5935Conference paper, Published paper (Refereed)
Abstract [en]

This paper explores the possibility of creating an automatic method for assessing the condition of induction motor circuits fed by inverters. The stator current and magnetic flux are processed in the frequency domain and a feature selection stage is employed to pinpoint the most informative components to further be fed to a classifier that performs the assessment of the motor circuit. The results are promising, indicating that short circuit detection as well as quantification is feasible using noninvasive techniques.

Place, publisher, year, edition, pages
IEEE, 2018. p. 5930-5935
Series
Annual Conference of Industrial Electronics Society, ISSN 1553-572X, E-ISSN 2577-1647
Keywords [en]
induction motors, variable speed drives, fault detection, fault diagnosis, current measurement, magnetic flux leakage
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-73024DOI: 10.1109/IECON.2018.8592903ISI: 000505811105136Scopus ID: 2-s2.0-85061528622OAI: oai:DiVA.org:ltu-73024DiVA, id: diva2:1291856
Conference
44th Annual Conference of the IEEE Industrial Electronics Society (IECON 2018) 21-23 October, 2018, Washington D.C., USA
Note

ISBN för värdpublikation: 978-1-5090-6684-1, 978-1-5090-6685-8

Available from: 2019-02-26 Created: 2019-02-26 Last updated: 2020-09-08Bibliographically approved

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Georgoulas, George

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