Digital Twin-Assisted Predictive Maintenance (DT-PdM) Frameworkfor Complex Systems: Preliminary Research through a Pilot Study

• Huxiao Shi ^[1] ; Gabriele Baldissone ^[1] ; Micaela Demichela ^[1]
  1. [1] Polytechnic University of Turin

     Polytechnic University of Turin

     Torino, Italia

     
• 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. 333-350
• Idioma: inglés
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  • Texto Completo Libro (pdf)
• Resumen

  • Currently, predictive maintenance is already gaining popularity across a wide range ofindustries due to its ability to forecast system performance and apply dynamic maintenancesolutions that provide better outcomes and financial advantages. However, according to thefact that conventional maintenance paradigms continue to be the common solutions, there aresome challenges needed to be addressed to broaden the real application of condition-basedmaintenance. This paper discusses Digital Twin (DT) as a potent tool for advancing and assistingwith predictive maintenance (PdM) in engineering domains. The framework of digital twin-as-sisted predictive maintenance (DT-PdM) is proposed with regard to industrial complex systems.A pilot study is conducted as preliminary and fundamental research to test the feasibility of theproposed framework.