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Fault classification scheme for three phase induction motor
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
2014 (English)In: International Journal of System Dynamics Applications, ISSN 2160-9772, E-ISSN 2160-9799, Vol. 3, no 1Article in journal (Refereed) Published
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 applies 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
2014. Vol. 3, no 1
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-5711DOI: 10.4018/ijsda.2014010101Local ID: 3e1d5772-6bd8-49a2-92d2-34f7d6791c62OAI: oai:DiVA.org:ltu-5711DiVA, id: diva2:978585
Projects
Feldetektering i elektriska maskiner
Note
Validerad; 2014; 20130803 (geonik)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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Publisher's full texthttp://www.igi-global.com/journal/international-journal-system-dynamics-applications/51803

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Mustafa, Mohammed ObaidNikolakopoulos, GeorgeGustafsson, Thomas

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