IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Digital Twin-Driven Condition-Based Maintenance

Digital Twin-Driven Condition-Based Maintenance
View Sample PDF
Author(s): Adolfo Crespo del Castillo (University of Cambridge, Spain), Marco Macchi (Politecnico di Milano, Italy)and Laura Cattaneo (Politecnico di Milano, Italy)
Copyright: 2023
Pages: 29
Source title: Research Anthology on BIM and Digital Twins in Smart Cities
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-6684-7548-5.ch021

Purchase

View Digital Twin-Driven Condition-Based Maintenance on the publisher's website for pricing and purchasing information.

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

Li Shun, Siti Norzaini Zainal Abidin, Myzatul Aishah Kamarazaly. © 2026. 30 pages.
TamilSalvi Mari, Ariventhar Ayahvoo, Sujatavani Gunasagaran. © 2026. 40 pages.
Khairool Aizat Ahmad Jamal, Shahrul Yani Said, Siti Norlizaiha Harun, Ahmad Fahmi Zainazlan, Noor Azeyah Khiyon. © 2026. 36 pages.
Changsaar Chai, Ming Gai, Haw Yang Ang, Chia Kuang Lee, Wan Siang Chong, Mervyn Hsin Jyi Wong. © 2026. 32 pages.
Nur Syaimasyaza Mansor, Hong Cing Cing. © 2026. 26 pages.
Erna Looi, Sujatavani Gunasagaran, TamilSalvi Mari. © 2026. 44 pages.
Yufeng Niu, Changsaar Chai, Yaoli Xiong. © 2026. 28 pages.
Body Bottom