Data collectionSensors capture RPM, torque, and belt tension, sending the data to ThingsPad via OPC-UA. This data is then visualized in TWINPAD and analyzed by STATSPHERE for predictive maintenance.
Anomaly DetectionWhen STATSPHERE detects an anomaly or predicts an issue, it immediately updates the TWINPAD model, triggering an alarm to alert operators to the problem and providing useful insights around the issue.