Current signature and vibration analyses to diagnose an in-service wind turbine drive train

Estefania Artigao, Sofia Koukoura, Andrés Honrubia-Escribano, James Carroll, Alasdair McDonald, Emilio Gómez-Lázaro

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

The goal of the present paper is to achieve the diagnosis of an in-service 1.5 MW wind turbine equipped with a doubly-fed induction generator through current signature and vibration analyses. Real data from operating machines have rarely been analysed in the scientific literature through current signature analysis supported by vibrations. The wind turbine under study was originally misdiagnosed by the operator, where a healthy component was replaced and the actual failure continued progressing. The chronological evolution of both the electrical current and vibration spectra is presented to conduct an in-depth tracking of the fault. The diagnosis is achieved through spectral analysis of the stator currents, where fault frequency components related to rotor mechanical unbalance are identified. This is confirmed by the vibration analysis, which provides insightful information on the health of the drive train. These results can be implemented in condition monitoring strategies, which is of great interest to optimise operation and maintenance costs of wind farms.
LanguageEnglish
Number of pages18
JournalEnergies
Volume11
Issue number4
DOIs
Publication statusPublished - 17 Apr 2018

Fingerprint

Wind Turbine
Wind turbines
Signature
Vibration
Electric fault currents
Asynchronous generators
Condition monitoring
Vibration analysis
Fault
Spectrum analysis
Farms
Stators
Condition Monitoring
Rotors
Vibration Analysis
Health
Spectral Analysis
Rotor
Proof by induction
Maintenance

Keywords

  • condition monitoring
  • current signature analysis
  • doubly-fed induction generator
  • gearbox
  • vibration analysis

Cite this

Artigao, Estefania ; Koukoura, Sofia ; Honrubia-Escribano, Andrés ; Carroll, James ; McDonald, Alasdair ; Gómez-Lázaro, Emilio . / Current signature and vibration analyses to diagnose an in-service wind turbine drive train. In: Energies. 2018 ; Vol. 11, No. 4.
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Current signature and vibration analyses to diagnose an in-service wind turbine drive train. / Artigao, Estefania; Koukoura, Sofia; Honrubia-Escribano, Andrés; Carroll, James; McDonald, Alasdair; Gómez-Lázaro, Emilio .

In: Energies, Vol. 11, No. 4, 17.04.2018.

Research output: Contribution to journalArticle

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AU - Koukoura, Sofia

AU - Honrubia-Escribano, Andrés

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