SICK Predictive Maintenance System (SICK-PdM) utilizes the SICK vibration sensor MPB10 to collect vibration and temperature data from motors, gearboxes, and other equipment. Through artificial intelligence algorithms, it analyzes whether the current operating condition of the motor is abnormal.

The system can detect potential issues before a failure occurs, providing early warnings of possible fault events. This enables timely maintenance interventions, thereby extending motor service life and reducing unplanned system downtime.

With a self-learning and continuously improving training model management system, as well as customizable dashboards, SICK-PdM supports enterprises in accelerating their digital transformation.