Bearings and seals manufacturer SKF and Amazon Web Services have announced they are collaborating on a joint solution to help transform industrial machine reliability and predictive maintenance.
The partnership will seek to deliver a condition monitoring and analysis system that makes the ability to collect and analyse data using machine learning technologies available to a wider range of applications and customers.
As a first step, SKF will combine its knowledge of rotating machinery and predictive maintenance with AWS’s industrial artificial intelligence services. The solution is comprised of sensors, gateways and a machine learning service that, it is promised, will be easy to install, commission, and scale. SKF and AWS will also collaborate on the next generation of SKF’s data analysis platform.
By adding this solution to its current portfolio of condition monitoring products, SKF says it can help large manufacturing sites increase the number of rotating assets in the end user’s predictive maintenance programs by several thousands.
SKF’s solution will provide these sites with machine alerts and alarms to enable better decision making and more efficient maintenance planning and scheduling. The same solution can also be used by small to mid-sized manufacturers, making the ability to use AI driven analysis available to a larger portion of the industrial market segment.
SKF president of industrial sales (Americas) John Schmidt commented: “The key to maximising the business value of machine data lies in scale. 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.”
AWS vice president of AI services Vasi Philomin said: “Our engagement with SKF spotlights how machine learning technologies, combined with scalability of the AWS cloud and condition monitoring expertise, can come together to improve operational efficiencies for industrial customers. Together with SKF, we are excited to deliver scalable, easy to use industrial solutions that will accelerate the pace of operational innovation for industrial customers of all sizes.”