This article describes a cloud-based process and machine component monitoring system called ARGUS. The term “swarm” is used for a large population of gear-grinding machines of individual and independent customers connected to the ARGUS system and the ARGUS cloud. These “swarm” machines permanently feed their anonymized process data into a common cloud database. Reishauer uses this database for big data analytics to discover patterns that indicate successful process and machine component behavior patterns worth integrating into the ARGUS algorithms and propagate them across the complete ARGUS customer base.

Manufacturers need to measure and quantify the causes of unproductive time so they can optimize their efficiency. Machine Monitoring from Seco provides them with the data-driven knowledge they need to not only manage production efficiency, but also increase both output volume and product quality.

Federal Gear Enables IIoT Platform with MachineMetrics