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Automatizing the detection of rotor failures in induction motors operated via soft-starters
Department of Informatics and Communications Technology, Technical Educational Institute of Epirus, 47100 Artas, Kostakioi, Department of Computer Engineering, TEI of Epirus, Arta.
Department of Computer Engineering, TEI of Epirus, Arta.
Department of Informatics and Communications Technology, Technical Educational Institute of Epirus, 47100 Artas, Kostakioi, Department of Computer Engineering, TEI of Epirus, Arta.
Siemens Industry Sector, Automation and Drives, Large Drives, Nuremberg, Germany, Large Drives, Products R&D Department, Siemes Inustry.
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Number of Authors: 82016 (English)In: Annual Conference of the IEEE Industrial Electronics Society, IECON 2015: Yokohama, Japan, 9-12 Nov. 2015, Piscataway, NJ: IEEE Communications Society, 2016, p. 3743-3748, article id 7392684Conference paper, Published paper (Refereed)
Abstract [en]

Implementation of unsupervised induction motor condition monitoring systems has drawn an increasing attention recently among motor drives manufacturers. In the case of soft- starters the possibility of incorporating fault detection features to their conventional functions provides an added value to those elements. Design and development of advanced algorithms that are able to automatically detect and alert about possible failures without requiring continuous human inspection is an especially challenging research goal. In this paper, an algorithm for the automatic detection of rotor damages in induction motors in the case of soft starting is proposed. The twofold approach relies, first, on the application of a time-frequency transform to the starting current signal and, second, on a pattern recognition stage based on the treatment of the time-frequency representation as a symbolic sequence. The innovation of this work is the implementation of the proposed approach for the automatic detection of rotor cage faults in soft-started motors. The experimental results prove the usefulness of the approach for the automatic detection of such faults and its potential for possible future implementation in soft-started machines.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2016. p. 3743-3748, article id 7392684
Series
I E E E Industrial Electronics Society. Annual Conference. Proceedings, ISSN 1553-572X
Keywords [en]
Information technology - Automatic control
Keywords [sv]
Informationsteknik - Reglerteknik
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-30376DOI: 10.1109/IECON.2015.7392684ISI: 000382950703134Scopus ID: 2-s2.0-84973125313Local ID: 42850719-3de2-4f85-a481-f726e7a80007ISBN: 978-1-4799-1762-4 (electronic)OAI: oai:DiVA.org:ltu-30376DiVA, id: diva2:1003603
Conference
Annual Conference of the IEEE Industrial Electronics Society : 09/11/2015 - 12/11/2015
Note

Validerad; 2016; Nivå 1; 2016-11-25 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Nikolakopoulos, George

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