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Bearing fault detection and diagnosis by fusing vibration data
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-9701-4203
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
Number of Authors: 2
2016 (English)In: IECON Proceedings (Industrial Electronics Conference), Piscataway, NJ: IEEE Computer Society, 2016, 6955-6960 p., 7794118Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a simple method for the detection and diagnosis of bearing faults, by fusing the information coming from two accelerometers. The method relies on three simple and intuitive features, extracted from the data coming from accelerometers placed at two different sites of the system under investigation. Our preliminary results indicate that by using simple statistical measures, such as the elements of the covariance matrix of the two sensors, faults at an early stage can be detected. In our the proposed scheme, the extracted features are fed to a k-nearest neighbour classifier for diagnosis purposes or to an ensemble of one-class detectors, if only the information from normal situation is available. As it is proved, based on experimental results, in both scenarios a remarkably high detection/diagnostic performance is achieved.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Computer Society, 2016. 6955-6960 p., 7794118
Series
IEEE Industrial Electronics Society, 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-39681DOI: 10.1109/IECON.2016.7794118ISI: 000399031207039Scopus ID: 2-s2.0-85010041769Local ID: e8630bd5-4600-49a0-b091-35669681f9eaISBN: 9781509034741 (electronic)OAI: oai:DiVA.org:ltu-39681DiVA: diva2:1013197
Conference
42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 24-27 October 2016
Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-09-15Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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Output format
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