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A Robust Linear Discrimination Fault Classification Scheme for Three Phase Induction Motors
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
2013 (English)In: CoDIT 2013: IEEE 2013 International Conference on Control, Decision and Information Technologies, Piscataway, NJ: IEEE Communications Society, 2013, 524-529 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this article a fault classification algorithm based on a robust linear discrimination scheme, for the case of a squirrel–cage three phase induction motor, will be presented. The suggested scheme is based on a novel feature extraction mechanism from the measured magnitude and phase of current park’s vector pattern. The proposed methodology has the merit to diagnose different types of faults such as: a) broken rotor bar, and b) short circuit in stator winding. The novel feature generation technique is able to transform the problem of fault detection and diagnosis into a simpler space, where direct robust linear discrimination can be applied for solving the classification problem. Robust linear discrimination has been one of the most widely used fault detection method in real life applications, as this methodology seeks for directions that are efficient for discrimination and at the same time requires a straight forward implementation. The efficacy of the proposed scheme will be evaluated based on multiple simulation results for different fault types.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2013. 524-529 p.
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-37875Scopus ID: 84893253046Local ID: c0bbfeb7-8d05-48aa-bd69-f3ea405acc93ISBN: 978-1-4673-5547-6 (print)OAI: oai:DiVA.org:ltu-37875DiVA: diva2:1011373
Conference
International Conference on Control, Decision and Information Technologies : 06/05/2013 - 08/05/2013
Projects
Feldetektering i elektriska maskiner
Note
Godkänd; 2013; Bibliografisk uppgift: - IEEE International Conference on Control, Decision and Information Technologies, May 6-8, 2013, Hammamet, Tunisia; 20130116 (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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