The Aurora vibration monitoring system integrates AI models to instantly analyze the health status of mechanical equipment, proactively identifying potential faults and uploading the data to the monitoring host. The system monitors the vibration health of key machinery, such as reducers and robotic arms in optoelectronic panel handling equipment, ensuring stable production line operation and improved product quality.
Additionally, the Aurora vibration monitoring system utilizes high-bandwidth vibration sensor nodes suitable for early fault detection and remaining life estimation of various high-speed rotating equipment, making it an important tool for intelligent monitoring in the optoelectronic panel industry. After implementation, through real-time monitoring and early warning of equipment anomalies, the system enhances equipment management efficiency and uptime, reduces equipment failure rates and downtime risks, and most importantly optimizes manpower allocation, achieving dual improvements in cost-effectiveness and production efficiency.
