SKF and AWS collaborate
Monica FergusonOperations Machine Building Amazon canada industrial machine reliability
SKF and Amazon Web Services (AWS), announced a collaboration to reinvent the field of industrial machine reliability and predictive maintenance with a joint solution. The engagement plans to deliver a condition monitoring and analysis solution, making the ability to collect and analyze data using machine learning technologies available to a broader range of applications and manufactures.
The product uses sensors, gateways and a machine learning service that are easy to install, commission, and scale. SKF and AWS will collaborate on the next generation of SKF’s data analysis platform.
“The key to maximizing the business value of machine data lies in scale,” said John Schmidt, President Industrial Region Americas, SKF. “With more condition monitoring tools available for a wider variety of their assets, end-users will gain more insights leading them to improved machine performance.”
SKF will help large manufacturing sites increase the number of rotating assets in the end user’s predictive maintenance programs by several thousand. SKF’s solution will provide these sites with machine alerts and alarms. The same solution can be used by entry-level users, small and mid-sized manufacturers, making the ability to use AI-driven analysis available to a larger portion of the industrial market segment.