A bio-inspired LIDA cognitive-based Digital Twin architecture for unmanned maintenance of machine tools
Robotics and Computer-Integrated Manufacturing
; 80, 2023.
Article
in English
| Scopus | ID: covidwho-2242933
ABSTRACT
Affected by COVID-19, the maintenance process of machine tools is significantly hindered, while unmanned maintenance becomes an emerging trend in such background. So far, three challenges, namely, the dependence on maintenance experts, the dynamic maintenance environments, and unsynchronized interactions between physical and information sides, exist as the main obstacles in its widespread applications. In order to fill this gap, a bio-inspired LIDA cognitive-based Digital Twin architecture is proposed, so as to achieve unmanned maintenance of machine tools through a self-constructed, self-evaluated, and self-optimized manner. A three phases process in the architecture, including the physical phase, virtual phase, and service phase, is further introduced to support the cognitive cycle for unmanned maintenance of machine tools. An illustrative example is depicted in the unmanned fault diagnosis on the rolling bearing of a drilling platform, which validates the feasibility and advantages of the proposed architecture. As an explorative study, it is wished that this work provides useful insights for unmanned maintenance of machine tools in a dynamic production environment. © 2022
Architecture; Machine tools; Maintenance; Memory architecture; Roller bearings; Cognitive manufacturing; Distribution agents; Dynamic maintenances; Emerging trends; Learning intelligent distribution agent; Maintenance process; Three phase; Three phasis; Unmanned maintenance; Virtual service; E-learning; Digital Twin; Learning intelligent distribution agent (LIDA)
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
Robotics and Computer-Integrated Manufacturing
Year:
2023
Document Type:
Article
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