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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

INTRODUCTION

Learn About Our Project's 

Mission and Team.

RESEARCH OVERVIEW

Explore Our Main Research 

Areas and Methodologies.

RESEARCH GOALS

Understand the Objectives 

Driving Our Work.

PEOPLE

Introducing the Professors

Participating in This Project.

INTERNATIONAL NETWORKING

Discover Our Global 

Collaborations and Partnerships.

Overview of Our

Project

INTRODUCTION

Learn About Our Project's 

Mission and Team.

RESEARCH GOALS

Understand the Objectives 

Driving Our Work.

RESEARCH OVERVIEW

Explore Our Main Research 

Areas and Methodologies.

PEOPLE

Introducing the Professors

Participating in This Project.

INTERNATIONAL NETWORKING

Discover Our Global 

Collaborations and Partnerships.