A Petri net-based Digital Twin development for managing wind turbine blade maintenance

• Wen Wu ^[1] ; Darren Prescott ^[1] ; Rasa Remenyte-Prescott ^[1] ; Ali Saleh ^[2] ; Manuel Chiachío Ruano ^[2]
  1. [1] University of Nottingham

     University of Nottingham

     Reino Unido

     
  2. [2] Universidad de Granada

     Universidad de Granada

     Granada, España

     
• Localización: Digital Maintenance in the Digital Twin Era: Proceedings of the 64th ESReDA Seminar& Doctoral Workshop / coord. por Aitor Goti Elordi, Antonio J. Guillén, Juan Chiachío Ruano, Manuel Chiachio Ruano, 2024, ISBN 978-84-1325-228-5, págs. 255-264
• Idioma: inglés
• Enlaces
  • Texto Completo Libro (pdf)
• Resumen

  • In this study, an application of Digital Twin concept is explored to foster intelligentmaintenance strategies and enhance the reliability of wind turbines amidst their rapid industrygrowth. It introduces a Petri net-based model that integrates condition monitoring (CM) andpredictive maintenance processes for managing wind turbine blade assets effectively. Theprocess begins with simulating blade degradation scenarios, followed by the inclusion of acondition monitoring system that consistently identifies the state of a blade, considering bothpotential underestimations and overestimations of the actual state. Based on these identifiedstates, engineers can select appropriate maintenance strategies. By introducing Petri Net (PN)modules, our model provides detailed predictions of the health of wind turbine blades undervarious asset management strategies. The proposed Digital Twin model offers a means toextend the lifespan of a blade in a cost-effective way.