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Fault classification of Broken Rotor Bars in Induction Motors Based on Envelope Current Analysis
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
Department of Informatics and Communications Technology, Technical Educational Institute of Epirus, 47100 Artas, Kostakioi, Department of Computer Engineering, TEI of Epirus, Arta.
2015 (English)In: IEEE 13th International Conference on Industrial Informatics (INDIN), 2015: Cambridge, United Kingdom, 22-24 July 2015, Piscataway, NJ: IEEE Communications Society, 2015, 795-800 p., 7281838Conference paper, Published paper (Refereed)
Abstract [en]

In this article a method for the fault classification of one, two, and three broken bars in induction motors under full load condition is presented. The proposed methodology is based on the current envelope analysis, which in the past has been also widely utilized in analyzing the rotor faults at low slips. As it will be presented, the information obtained from the envelope current is valuable in manifesting and validating the presence of fault, since the current envelope and its characteristics often contains important information about the existence of a fault and the corresponding fault type. The proposed method mainly focuses on the case of steady-state operation under full load. In the established fault detection scheme, from the stator’s current six statistical features are extracted and utilized for the fault detection and classification. In more detail, three classifiers, a linear, a quadratic and a Nearest Neighbor have been investigated for the diagnosis of broken rotor bar faults of an induction motor. The presented approach have manifested promising results using experimental data.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. 795-800 p., 7281838
Keyword [en]
Information technology - Automatic control
Keyword [sv]
Informationsteknik - Reglerteknik
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-37863DOI: 10.1109/INDIN.2015.7281838Scopus ID: 84949499664Local ID: c069ac96-4859-40f9-92b7-912d1abd81d0ISBN: 9781479966493 (electronic)OAI: oai:DiVA.org:ltu-37863DiVA: diva2:1011361
Conference
IEEE International Conference on Industrial Informatics : 22/07/2015 - 24/07/2015
Note
Validerad; 2016; Nivå 1; 20150419 (geonik)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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CiteExportLink to record
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