Development of a Wind Turbine Digital-Twin for failure prognosis: First Results


Abstract:

Wind turbines are increasing their generation energy capacity, which requires an increase in reliability. One of the most relevant failures that occur in wind turbines is the one in the main bearing. The study of methods that allows pbkp_redicting the behavior of Wind Turbines under different operation conditions will permit a forecast of any possible failure in the elements of the device. The current work presents the first results in developing a wind turbine digital twin using SCADA data. This DT should allow to estimate and simulate the behavior of the WT and be an additional tool in the pbkp_rediction of failures. The used platform is MATLAB and its Simulink and Simscape modules.

Año de publicación:

2022

Keywords:

  • Wind turbine
  • DIGITAL TWIN
  • Actual SCADA data
  • Neural networks
  • Fault prognosis

Fuente:

scopusscopus

Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Energía renovable

Áreas temáticas:

  • Física aplicada
  • Otras ramas de la ingeniería
  • Métodos informáticos especiales