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.