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Dynamical measurement system for wind turbine fatigue load

Author

Listed:
  • Liu, Xiaofeng
  • Bo, Lin
  • Luo, Hongling

Abstract

A measurement system specially used in wind turbine fatigue load assessment is developed based on Labview platform and Control Area Network (CAN). By applying CAN bus communication technology, the system can perform data automatic acquisition, data stable transmission and data real-time monitoring. By adopting the technology of virtual instrument modular design, the system is designed to analyze the wind turbine mechanical load levels against wind and power, equivalent loads and lifetime fatigue loads, etc. Considering the effects of small load strengthening, low amplitude load damaging and multilevel load interaction, a novel fatigue lifetime prediction model is proposed to obtain more accurate and reliable prediction of blade fatigue life. With the developed measurement system, the in-field load measurements are performed and the results showed the system has satisfactory accuracy and good adaption, convenient operation, high integration, low cost and great practicality to load measurement of large wind turbine. And based on the proposed model the fatigue life of WT blade can be estimated more trustworthily and reliably.

Suggested Citation

  • Liu, Xiaofeng & Bo, Lin & Luo, Hongling, 2016. "Dynamical measurement system for wind turbine fatigue load," Renewable Energy, Elsevier, vol. 86(C), pages 909-921.
    • Handle: RePEc:eee:renene:v:86:y:2016:i:c:p:909-921
    DOI: 10.1016/j.renene.2015.08.077
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    Cited by:

    1. Jijian Lian & Ou Cai & Xiaofeng Dong & Qi Jiang & Yue Zhao, 2019. "Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
    2. Buckley, Tadhg & Watson, Phoebe & Cahill, Paul & Jaksic, Vesna & Pakrashi, Vikram, 2018. "Mitigating the structural vibrations of wind turbines using tuned liquid column damper considering soil-structure interaction," Renewable Energy, Elsevier, vol. 120(C), pages 322-341.

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