This project enables advanced maintenance for asset and equipment using digitalization, machine learning, web applications and real-time data.
Using the React framework, this solution offers real-time data visualization and machine learning-based anomaly detection. Real-world data from industrial settings validates the integrated approach, offering a robust solution for equipment health
management, reducing downtime and cost.
SUPERVISORS:
Zhang Qi | Chung Ock Jin | Ong Hock San | Qua Pheng Thiam |
Teo Chin Heng
TEAM MEMBERS:
Ahmad Khair Hadi Bin Ahmad Jamal | Au Yong Jun Yin | Ng Shi Qing
DIPLOMAS:
Diploma in Computer Engineering
Diploma in Electrical & Electronic Engineering
INDUSTRY PARTNERS:
SICK Pte. Ltd
Mitsubishi Electric Asia Pte Ltd