Continuous monitoring of mechanical elements, axes, and spindle motors.
Automatically creates a baseline model using normal operating data to predict anomalies.
Detects and displays anomaly scores via intuitive graphs in a web interface.
Data is directly collected from servo motors, removing the need for external sensors.
Sends email alerts when anomaly thresholds are exceeded.
Works with MT-Link i software for data collection and analysis.
Helps prevent unplanned downtime by predicting potential failures early.
By detecting issues before they escalate, machine availability is improved, reducing idle times.
Early detection reduces the need for emergency repairs and lowers maintenance costs.
Provides critical data insights, helping teams make informed decisions on maintenance scheduling and system updates.
