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Smart Manufacturing Equipment OEE Optimization Solution

Model: 地端壽命預測訓練推論閘道器

Category: AI & Intelligent Applications

Exhibitor:

TAIWAN LINK SOLUTION CO., LTD.

Booth No: L1026

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Description
Proprietary RUL prediction algorithms extract edge signal features with minimal data requirements, dynamically and accurately assessing remaining useful life. Eliminate unscheduled downtime and maximize production line utilization.

Robot AI Health Prognostics and Monitoring System

Benefits
 Real-time tracking of robot (equipment) Health Index (HI) & Remaining Useful Life (RUL) predictions.
 Early detection of anomalies and proactive preventive maintenance to extend robot lifespan.
 Reduced equipment troubleshooting and PM (Preventive Maintenance) downtime.
Methodology
 Vibration Physics: Sensor-level edge AI failure mode modeling and vibration feature extraction.
 Current Physics: Motor driver current data acquisition and current feature extraction across all axes.
 Robot Health Index (HI) and Remaining Useful Life (RUL) inference.

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