Wind Turbine Gearbox Condition Monitoring with AAKR and Moving Window Statistic Methods

Article, Other literature type English OPEN
Guo, Peng ; Bai, Nan (2011)
  • Publisher: Molecular Diversity Preservation International
  • Journal: Energies, volume 4, issue 11 11, pages 1-17 (issn: 1996-1073)
  • Related identifiers: doi: 10.3390/en4112077
  • Subject: moving window statistics | wind turbine condition monitoring | Technology | residual analysis | Autoassociative Kernel Regression | T | wind turbine condition monitoring; gearbox; Autoassociative Kernel Regression; residual analysis; moving window statistics | gearbox
    • jel: jel:Q0 | jel:Q | jel:Q4 | jel:Q47 | jel:Q49 | jel:Q48 | jel:Q43 | jel:Q42 | jel:Q41 | jel:Q40

Condition Monitoring (CM) of wind turbines can greatly reduce the maintenance costs for wind farms, especially for offshore wind farms. A new condition monitoring method for a wind turbine gearbox using temperature trend analysis is proposed. Autoassociative Kernel Regr... View more
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