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Broken rotor bar fault detection based on uncertainty ellipsoidal intersection for three phase induction motors
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.ORCID-id: 0000-0003-0126-1897
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Signaler och system.ORCID-id: 0000-0002-0079-9049
2013 (engelsk)Inngår i: 21st IEEE Mediterranean Conference on Control and Automation, June 25-28, Platanias, Chania, Crete, Greece, 2013., Piscataway, NJ: IEEE Communications Society, 2013, s. 388-393, artikkel-id 6608751Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

In this article a fault detection scheme for broken rotor bar fault detection in three phase induction motor is presented. In the proposed scheme the induction motor has been transformed in the equivalent two phase (q−d) space, while the modeling of the faulty case has been also formulated. The model has been identified by the utilization of the Set Membership Identification (SMI) algorithm that has the merit of identifying both the parameters of the motor as also providing uncertainty bounds in both the healthy and the faulty cases. Based on the adopted methodology, the uncertainty bounds and the corresponding identified parameters of the induction motor is presented as 3D–ellipsoids, while a novel fast and efficient fault detection scheme has been proposed that is able to track iteratively the ellipsoid centers, the distance among centers, the intersection between the initial and a priori known converged states of the motor and the current ones, before or after the fault occurrence. Detailed analysis of the proposed approach and he fault detection strategy, as also extended simulation results are being presented that prove the efficiency of the suggested scheme.

sted, utgiver, år, opplag, sider
Piscataway, NJ: IEEE Communications Society, 2013. s. 388-393, artikkel-id 6608751
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URN: urn:nbn:se:ltu:diva-27093DOI: 10.1109/MED.2013.6608751Scopus ID: 84885193222Lokal ID: 0698e668-e025-4181-b19d-c19f5ab86679ISBN: 978-1-4799-0995-7 (tryckt)OAI: oai:DiVA.org:ltu-27093DiVA, id: diva2:1000274
Konferanse
Mediterranean Conference on Control and Automation : 25/06/2013 - 28/06/2013
Prosjekter
Feldetektering i elektriska maskiner
Merknad
Godkänd; 2013; 20130415 (geonik)Tilgjengelig fra: 2016-09-30 Laget: 2016-09-30 Sist oppdatert: 2017-11-25bibliografisk kontrollert

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Mustafa, Mohammed ObaidNikolakopoulos, GeorgeGustafsson, Thomas

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