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Predictive Maintenance in a Fleet Management System: The Navarchos Case

  • Apostolos Giannoulidis,
  • Anna-Valentini Michailidou,
  • Theodoros Toliopoulos,
  • Ioannis Constantinou,
  • Anastasios Gounaris

摘要

This work presents a state-of-the-art predictive maintenance (PdM) framework, which is tailored to demanding cases, where information is dynamic and partial, and non-supervised solutions should be applied. Moreover, it discusses and aims to demonstrate the application of this framework to the Navarchos Fleet Management System (FMS).