GRL(Sponsered by NRF)
A team of experts from various fields and research backgrounds has been assembled to develop big data analysis technologies
and predictive maintenance methodologies applicable to APS. The aim is to present future directions for APS predictive maintenance and to secure international research competitiveness through global collaboration.
Autonomous Production System
Develop a new system-level predictive maintenance framework in the APS environment.
Multiple Data
Apply generative, predictive, and prescriptive AI methodologies based on multi-source data.
Systemsystem Prediction
Accurately predict degradation of components and systems to prevent failures.
Data Balance
Resolve issues of data
scarcity and imbalance.
Automatic Diagnostic System
Enhance maintenance efficiency with automated diagnostics and real-time monitoring.
Predictive Maintenance
Optimize predictive maintenance operations to minimize maintenance costs and manpower.
Generative Predictive and Prescriptive Maintenance Framework for Autonomous Production System
Generative Predictive and Prescriptive Maintenance Framework for Autonomous Production System
Generative Predictive and Prescriptive Maintenance Framework for Autonomous Production System
Generative Predictive and Prescriptive Maintenance Framework for Autonomous Production System
Generative Predictive and Prescriptive Maintenance Framework for Autonomous Production System