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A fault diagnosis scheme for three phase induction motors based on uncertainty bounds
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
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-0079-9049
2012 (English)In: IECON 2012: 38th Annual Conference of the IEEE Industrial Electronics Society, Piscataway, NJ: IEEE Communications Society, 2012, 1596-1601 p.Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this article is to present a fault diagnosis scheme for the case of squirrel–cage Three Phase Induction Motors based on uncertainty bounds violation conditions. The suggested scheme has the capability to diagnose two types of faults: a) broken rotor bar and b) short circuit in stator winding. The fault diagnosis is being performed through a two steps procedure. In the first step the parameters of the healthy induction motor are being identified by utilizing a Set Membership Identification approach, where corresponding uncertainty bounds are also being provided. In the second step, specific proposed bound violation conditions for the fault detection and fault diagnosis are being on–line evaluated during a sliding time window. Multiple simulation results are being presented that prove the efficacy of the proposed scheme towards fault detection and fault diagnosis.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2012. 1596-1601 p.
Series
I E E E Industrial Electronics Society. Annual Conference. Proceedings, ISSN 1553-572X
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-37790DOI: 10.1109/IECON.2012.6388528Local ID: beadc988-f4da-469e-ad12-55283463725fISBN: 978-1-4673-2420-5 (print)OAI: oai:DiVA.org:ltu-37790DiVA: diva2:1011288
Conference
Annual Conference of the IEEE Industrial Electronics Society : 25/10/2012 - 28/10/2012
Projects
Feldetektering i elektriska maskiner
Note
Validerad; 2012; 20120620 (geonik)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-11-25Bibliographically approved

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Mustafa, Mohammed ObaidNikolakopoulos, GeorgeGustafsson, Thomas
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