Autor

Mostrando ítems 1-2 de 2

    • A parameter selection method for wind turbine health management through SCADA data 

      Du, Mian; Yi, Jun; Mazidi, Peyman; Cheng, Lin; Guo, Jianbo
      More and more works are using machine learning techniques while adopting supervisory control and data acquisition (SCADA) system for wind turbine anomaly or failure detection. While parameter selection is important for ...

    • A performance and maintenance evaluation framework for wind turbines 

      Mazidi, Peyman; Du, Mian; Bertling Tjemberg, Lina; Sanz Bobi, Miguel Ángel (Tsinghua University; Chongqing University (Pekín, China), 16/10/2016)
      In this paper, a data driven framework for performance and maintenance evaluation (PAME) of wind turbines (WT) is proposed. To develop the framework, SCADA data of WTs are adopted and several parameters are carefully ...