Condition Monitoring for Predictive Maintenance

The Industrial Internet of Things (IIoT) focuses on internet usage in industrial processes and procedures. IIoT aims at increasing operational efficiency, reducing costs and speeding up processes. Sensors and sensor data plays a central role in providing the basis for conditions monitoring and predictive maintenance.

• Condition monitoring solutions for predictive maintenance systems integrated into the frequency inverter
• System is IIoT/Industry 4.0 READY!
• Available for decentralised and control cabinet solutions

Sensors

• Virtual sensors – the PLC can calculate information such as the optimal oil change time
• Interface for digital/analog sensors

Communication Interfaces

Threshold values or general status information can be communicated externally (via normal Industrial Ethernet dialects)

Integrated PLC

• Local pre-processing of data with the integrated PLC
• Pre-processing of threshold values

Information from condition monitoring can be transferred to predictive maintenance.

Drive-based Approach

• Sensorless determination of the optimal oil change time based on virtual oil temperature
• Pre-processing of drive data in the integrated PLC
• Offering the data to the customer via all common interfaces

• Gear unit parameters and specific operational parameters make it possible to precisely calculate the oil change time.
• The NORD solution is based on the fact that the oil temperature is a key factor for oil ageing in gear units.
• A hardware temperature sensor is not needed because virtual sensors calculate the current oil temperature continuously by way of drive-specific parameters.
• The existing frequency inverter from NORD is used as an evaluation unit: The algorithm runs in the internal PLC.