Recent advances in wind turbine condition monitoring using SCADA data: A state-of-the-art review
Shun Wang, Yolanda Vidal, Francesc Pozo
Abstract
With the rapid increase worldwide in the number of installed wind turbines, as an increasingly vital role in the global energy landscape, requirements and expenses of maintenance have also increased significantly. This surge in wind turbine installations worldwide has escalated maintenance demands and costs, making condition monitoring an essential focus for research and operational optimization. Built-in supervisory control and data acquisition (SCADA) systems could offer a cost-effective approach to condition monitoring in wind turbines, using existing infrastructure to reduce the need for additional sensors and simplifying system complexity. This review critically surveys state-of-the-art SCADA-based condition monitoring techniques for wind turbines. The paper first examines essential data preprocessing strategies tailored for SCADA data challenges. Subsequently, key monitoring methodologies are reviewed, including model-based and data-driven paradigms, analyzing their applications, strengths, and limitations. Finally, the challenges and future trends of SCADA-based wind turbine condition monitoring are discussed. This comprehensive overview serves as a valuable reference for researchers and industry practitioners seeking to enhance wind turbine reliability and operational efficiency through advanced monitoring techniques.