Industrial equipment can cost millions of dollars; their efficient operations are essential to maintain, and embedded sensors provide an opportunity to evaluate operations more effectively and avert problems that can impact operations through predictive maintenance.
This Intelligent Equipment Accelerator monitors industrial equipment using sensor data to identify machine or process failures, production defects, generate alerts and automate action based on streaming IoT data and data science models with governed reference data.
- Anomalies in the sensor data detected and actioned in real-time
- Performance and failure patterns evaluated using visual analytics
- Managed IoT reference data