A probability evaluation method of early deterioration condition for the critical components of wind turbine generator systems

Y. Hu, H. Li, X Liao, E. Song, H. Liu, Zhe Chen

Research output: Contribution to journalJournal articleResearchpeer-review

30 Citations (Scopus)

Abstract

This study determines the early deterioration condition of critical components for a wind turbine generator system (WTGS). Due to the uncertainty nature of the fluctuation and intermittence of wind, early deterioration condition evaluation poses a challenge to the traditional vibration-based condition monitoring methods. Considering the its thermal inertia and strong anti-interference capacity, temperature characteristic parameters as a deterioration indication cannot be adequately disturbed by the uncontrollable noise and uncertainty nature of wind. This paper provides a probability evaluation method of early deterioration condition for critical components based only on temperature characteristic parameters. First, the dynamic threshold of deterioration degree function was proposed by analyzing the operational data between temperature and rotor speed. Second, a probability evaluation method of early deterioration condition was presented. Finally, two cases showed the validity of the proposed probability evaluation method in detecting early deterioration condition and in tracking their further deterioration for the critical components.
Original languageEnglish
JournalMechanical Systems and Signal Processing
Volume76-77
Pages (from-to)729–741
Number of pages13
ISSN0888-3270
DOIs
Publication statusPublished - Aug 2016

Keywords

  • Wind turbine
  • Condition monitoring
  • Dynamic threshold
  • Probability evaluation
  • Degradation degree

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