KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0

2022 ◽  
Vol 74 ◽  
pp. 102281
Author(s):  
Qiushi Cao ◽  
Cecilia Zanni-Merk ◽  
Ahmed Samet ◽  
Christoph Reich ◽  
François de Bertrand de Beuvron ◽  
...  
1986 ◽  
Author(s):  
Richard H. Brown ◽  
Jonathan K. Millen ◽  
Ethan A. Scarl

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.


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