Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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
Multi-harmonic tracking for diagnosis of rotor asymmetries in wound rotor induction motors
Institute for Energy Engineering, Universitat Politecnica de Valencia.
Institute for Energy Engineering, Universitat Politecnica de Valencia, Aalto University.
Siemens Industry Sector, Automation and Drives.
Department of Informatics and Communications, Technology TEI of Epirus.ORCID iD: 0000-0001-9701-4203
Show others and affiliations
2013 (English)In: IECON Proceedings (Industrial Electronics Conference), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2013, p. 5555-5560, article id 6700043Conference paper, Published paper (Refereed)
Abstract [en]

Most of the research work hitherto carried out in the induction motors fault diagnosis area has been focused on squirrel-cage motors in spite of the fact that wound-rotor motors are typically less robust, having a more delicate maintenance. Over recent years, wound-rotor machines have drawn an increasing attention in the fault diagnosis community due to the advent of wind power technologies for electricity generation and the widely spread use of its generator variant, the Doubly-Fed Induction Generators (DFIGs) in that specific context. Nonetheless, there is still a lack of reliable techniques suited and properly validated in wound-rotor industrial induction motors. This paper proposes an integral methodology to diagnose rotor asymmetries in wound-rotor motors with high reliability. It is based on a twofold approach; the Empirical Mode Decomposition (EMD) method is employed to track the low-frequency fault-related components, while the Wigner-Ville Distribution (WVD) is used for detecting the high-frequency failure harmonics during a startup. Experimental results with real wound-rotor motors demonstrate that the combination of both perspectives enables to correctly diagnose the failure with higher reliability than alternative techniques relying on a unique informational source

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2013. p. 5555-5560, article id 6700043
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-68402DOI: 10.1109/IECON.2013.6700043Scopus ID: 2-s2.0-84893628909ISBN: 9781479902248 (electronic)OAI: oai:DiVA.org:ltu-68402DiVA, id: diva2:1198661
Conference
39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013, Vienna, Austria, 10-14 November 2013
Available from: 2018-04-18 Created: 2018-04-18 Last updated: 2018-04-18Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Georgoulas, Georgios
Control Engineering

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 4 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • 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