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Start-up analysis methods for the diagnosis of rotor asymmetries in induction motors-seeing is believing
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-9701-4203
Department of Electrical Engineering and Automation, Aalto University, Espoo.
University of Patras, Department of Electrical Engineering.
Institute of Energy Engineering, University of Valencia, Spain.
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2016 (English)In: 24th Mediterranean Conference on Control and Automation (MED): June 21-24, Athens, Greece, 2016, Piscataway, NJ: IEEE Communications Society, 2016, p. 372-377, article id 7536045Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a qualitative analysis of different methods proposed for the diagnosis of broken rotor bars using the stator current during start-up operation. The slip dependent components, caused by the asymmetry, which is created by the breakage of rotor bar(s) and especially the left sideband harmonic (LSH) component, can create a distinctive pattern in a time- frequency plane. Short Time Fourier Transform, Wavelet analysis, and Winger-Ville Distribution are evaluated by using signals coming from motors operating in real industrial settings. The corresponding analysis presents the pros and the cons of these approaches for their potential application under realistic industrial conditions using the larger number of real life cases encountered in the literature.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2016. p. 372-377, article id 7536045
Series
Mediterranean Conference on Control and Automation, E-ISSN 2325-369X
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-38122DOI: 10.1109/MED.2016.7536045ISI: 000391154900063Scopus ID: 2-s2.0-84986201013Local ID: c68f8e40-e935-4b4d-b352-51fabd72a87fISBN: 978-1-4673-8345-5 (electronic)OAI: oai:DiVA.org:ltu-38122DiVA, id: diva2:1011621
Conference
Mediterranean Conference on Control and Automation : 21/06/2016 - 24/06/2016
Projects
Integrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIRE
Funder
EU, Horizon 2020, 636834
Note

Godkänd; 2016; 20160419 (geonik)

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2022-09-23Bibliographically approved

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fulltext(3326 kB)351 downloads
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Georgoulas, GeorgiosNikolakopoulos, George

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