Predictive Maintenance

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.

Capabilities include:

  • Anomalies in the sensor data detected and actioned in real-time
  • Performance and failure patterns evaluated using visual analytics
  • Managed IoT reference data
TIBCO Accelerator: Intelligent Equipment for Predictive Maintenance
TIBCO Accelerator: Intelligent Equipment for Predictive Maintenance
In This Accelerator
  • Explore Error Conditions
  • IoT Data Processing
  • Pattern Detection
  • Connectivity (OSI PI, MQTT and OPC UA)
  • IoT Reference Data
Intelligent Equipment Accelerator - Predictive Maintenance Screenshot
Intelligent Equipment Accelerator - Predictive Maintenance
Intelligent Equipment Accelerator - Predictive Maintenance Demo