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Principal Component Analysis Anomaly Detector for Rotor Broken Bars
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Department of Informatics and Communications Technology, Technical Educational Institute of Epirus, 47100 Artas, Kostakioi.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
2015 (English)In: IECON 2014: 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, TX, USA , Oct. 29 2014 - Nov. 1 2014, Piscataway, NJ: IEEE Communications Society, 2015, 3462-3467 p.Conference paper, Published paper (Refereed)
Abstract [en]

In this article a method for the detection of broken rotor bars in asynchronous machines operating under full load is presented. Unlike most Motor Current Signature Analysis (MCSA) approaches, which operate in the frequency domain, our method operates in the time domain. The scheme is based on the use of a Principal Component Analysis (PCA) fault/anomaly detector applied on the three stator currents to calculate the Q statistic which is employed for detecting a fault. The efficiency of the proposed scheme was experimentally evaluated using different fault severity levels, ranging from 1/4 of a broken bar to three broken bars. The obtained results indicate that the method can detect the caused asymmetry with a very restricted amount of data.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. 3462-3467 p.
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-34146Local ID: 84337867-8adc-4cc5-906d-be73174a0b07ISBN: 978-1-4799-4033-2 (print)OAI: oai:DiVA.org:ltu-34146DiVA: diva2:1007396
Conference
Annual Conference of the IEEE Industrial Electronics Society : 29/10/2014 - 01/11/2014
Note
Godkänd; 2015; 20140623 (geonik)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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