Condition monitoring and vibration analysis of wind turbine
| Autor: | Benjamin Still, Chen Tian, Isaac W. Wait, Zhaohui Yang, Gang S. Chen, Feng Xiao |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
010504 meteorology & atmospheric sciences
Computer science 020209 energy Mechanical Engineering media_common.quotation_subject lcsh:Mechanical engineering and machinery Health condition Condition monitoring 02 engineering and technology Fault (power engineering) 01 natural sciences Turbine Reliability engineering Vibration Promotion (rank) 0202 electrical engineering electronic engineering information engineering lcsh:TJ1-1570 Structural health monitoring 0105 earth and related environmental sciences media_common |
| Zdroj: | Advances in Mechanical Engineering, Vol 12 (2020) |
| ISSN: | 1687-8140 |
| Popis: | Health condition monitoring through comprehensive monitoring, incipient fault diagnosis, and the prediction of impending faults allows for the promotion of the long-term performance of wind turbines, particularly those in harsh environments such as cold regions. The condition monitoring of wind turbines is characterized by the difficulties associated with the lack of measured data and the nonstationary, stochastic, and complicated nature of vibration responses. This article presents a characterization of the vibrations of an operational wind turbine by spectrogram, scalogram, and bi-spectrum analyses. The results reveal varied nonstationary stochastic properties and mode-coupling instability in the vibrations of the tested wind turbine tower. The analysis illustrates that the wind turbine system vibrations exhibit certain non-Gaussian stochastic properties. An analytical model is used to evaluate the nonstationary, stochastic phenomena and mode-coupling phenomena observed in the experimental results. These results are of significance for the fault diagnosis of wind turbine system in operation as well as for improving fatigue designs beyond the wind turbulence spectral models recommended in the standards. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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