Collaborative Fault Detection and Diagnosis Architecture for Industrial Cyber-Physical Systems

Industrial Cyber-Physical Systems (ICPS) deploy a network of connected and heterogeneous systems, integrating computational and physical components, improving production and quality. However, a fault-free system is still utopian, but methodologies related to fault detection and diagnosis are still b...

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Bibliographic Details
Published in2022 IEEE International Conference on Industrial Technology (ICIT) pp. 1 - 6
Main Authors Piardi, Luis, Costa, Pedro, Oliveira, Andre, Leitao, Paulo
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.08.2022
Subjects
Collaboration
Computer architecture
Cyber-physical systems
Disruptive technologies
Fault detection
Fault diagnosis
Industrial Cyber-physical Systems
Industry 4.0
Production
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Summary:Industrial Cyber-Physical Systems (ICPS) deploy a network of connected and heterogeneous systems, integrating computational and physical components, improving production and quality. However, a fault-free system is still utopian, but methodologies related to fault detection and diagnosis are still being treated in isolation or a centralized approach, overlooking the technological advances related to ICPS such as IoT, AI and edge computing. With this in mind, the present work proposes a collaborative architecture for fault detection and diagnosis, regarding the exchange of information for collaborative detection and diagnosis adopting disruptive technologies. Laboratory-scale ICPS experiments were carried out to compare the proposed approach with the approach where each component separately intends to identify and diagnose faults. The results present a faster response generating a system more flexible and robust.
DOI:10.1109/ICIT48603.2022.10002786