The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Digital Twin-Driven Condition-Based Maintenance
Author(s): Adolfo Crespo del Castillo (University of Cambridge, Spain), Marco Macchi (Politecnico di Milano, Italy)and Laura Cattaneo (Politecnico di Milano, Italy)
Copyright: 2022
Pages: 28
EISBN13: 9781668443934
Purchase
View Sample PDF
Abstract
The world is witnessing an all-level digitalization that guides the industry and business to a restructuration in order to adapt to the new requirements of the surrounding environment. That change also concerns the labour of the technical professionals and their formation. As a consequence of this deep consciousness-raising, this chapter will investigate and develop simulation models based on the current digitalization. The aim of this chapter is the exposition of a real case development of “digital twin” models framed as part of the condition-based maintenance paradigm to improve real-time assets operation and maintenance. This model contributes by providing real-time results that could turn into a basis for the industrial management decisions and place them in the Industry 4.0 paradigm environment.
Related Content
|
Angela Bradley, Margaret-Mary Martine Sulentic Dowell, Imre Emeric Csaszar.
© 2023.
28 pages.
|
|
Abu Sayeed Mondal, Dilip Roy.
© 2015.
23 pages.
|
|
S. Ghiri, Manjari Sharma.
© 2024.
12 pages.
|
|
Lukman Raimi, Theoneste Manishimwe.
© 2021.
22 pages.
|
|
Marilena Antoniadou.
© 2019.
21 pages.
|
|
|