Combining motor current, transmission friction, and air cooling improves lubricant temperature estimation for more reliable robot joint replacement timing.
Distributed vibration analysis cleans and aligns multi-sensor machine data to track anomalies and flag performance deviations across facilities.
Combining motor heat, frictional heat, and cooling estimates improves lubricant temperature prediction and replacement timing in robot transmissions.
Per-process throughput and connection displays reveal rate-limiting food production steps quickly, enabling timely countermeasures.
Distributed vibration data cleaning and anomaly tracking help compare hundreds of machine sensors and flag sub-optimal equipment performance.
A management device calculates CO2 emissions per unit product by proportionally dividing electric power consumption based on weight ratios.
A magnetic field detector captures electrical characteristics from operating machines to display real-time productivity data on a user interface.