Robot condition monitoring from joint and cycle data
Problem
A fleet of industrial robots showed sporadic failures with no warning, causing unplanned line stops.
Data / image source
Joint currents, torques, cycle times, and alarm history read directly from the robot controllers.
Solution architecture
Edge collector logging to InfluxDB with anomaly detection models comparing robots and cycles over time.
Integration
Early-warning alerts to the maintenance team and Grafana dashboards per robot and line.
Outcome
Gradual degradation became visible weeks before failure; maintenance is now planned by condition.
Technologies