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 ◽  
...  
Keyword(s):  
Industry 4.0 ◽  
Predictive Maintenance ◽  
Knowledge Based System ◽  
Knowledge Based

KNOBS (Knowledge-Based System) - The Final Report (1982).

1986 ◽  
Author(s):  
Richard H. Brown ◽  
Jonathan K. Millen ◽  
Ethan A. Scarl
Keyword(s):  
Final Report ◽  
Knowledge Based System ◽  
Knowledge Based

scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

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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