Change search
CiteExportLink to record
Permanent link

Direct link
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
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Bearing fault classification based on minimum volume ellipsoid feature extraction
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
2013 (English)In: 2013 IEEE Multiconference on Systems and Control (MSC), Hyderabad, India, August, 28-30, 2013, 2013, 1177-1182 p.Conference paper, Published paper (Refereed)
Abstract [en]

This article presents a novel fault classification and diagnosis technique for bearings based on a Minimum Volume Ellipsoid (MVE) method for feature extraction. Data from two accelerometers located at two different sights of the test bed are combined to create a two dimensional representation and the feature extraction stage condenses that information using an ellipsoid description. The proposed features feed a simple non-linear classifier which separates almost perfectly between normal and faulty conditions, with also very high diagnostic accuracy between the faulty classes. The obtained results suggest that this novel representation can be used within a condition monitoring system.

Place, publisher, year, edition, pages
2013. 1177-1182 p.
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-40649Local ID: fd795f8a-8219-4627-b1cf-ce13c560c335OAI: oai:DiVA.org:ltu-40649DiVA: diva2:1014170
Conference
IEEE Multi-Conference on Systems and Control : 28/08/2013 - 30/08/2013
Projects
Fault Detection in Bearings
Note
Godkänd; 2013; 20130515 (geonik)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2017-10-19Bibliographically approved

Open Access in DiVA

fulltext(1531 kB)23 downloads
File information
File name FULLTEXT01.pdfFile size 1531 kBChecksum SHA-512
51170c39aae3b59206393b55c881064d49e19ca71e2280181cbbc815adf5600ba5f9cb5d18ecfe5c5c15220866ea1f5e5172d86271b862a3f75de69c901f0068
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Mustafa, Mohammed ObaidNikolakopoulos, George
By organisation
Signals and Systems
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 23 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 27 hits
CiteExportLink to record
Permanent link

Direct link
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
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf