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3 October, 2022

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SKF and Amazon join forces to ‘re-invent’ machine reliability

28 April, 2022

SKF and Amazon Web Services (AWS) have announced a collaboration to “re-invent” the field of industrial machine reliability and predictive maintenance. They plan to deliver an easy-to-use and easy-to-scale condition-monitoring and analysis package that will make the ability to collect and analyse data using ML (machine learning) technologies available to more applications and users.

As a first step, SKF is combining its knowledge of rotating machinery and predictive maintenance with AWS’s industrial AI services that bring industrial expertise, AI and ML technologies together. They will offer sensors, gateways and a ML service that is easy to install, commission and scale. The companies will also collaborate on the next generation of SKF’s data analysis platform.

SKF says the partnership will add several thousand large manufacturing sites where rotating assets are monitored to its predictive maintenance programs. It will equip these sites with machine alerts and alarms, enabling smarter, better decision-making, and more efficient maintenance planning and scheduling. The same approach can also be used by entry-level users and small-to-mid-sized manufacturers, making the ability to use AI-driven analysis available to more of the industrial market.

“The key to maximising the business value of machine data lies in scale,” says John Schmidt, president of SKF’s industrial activities in the Americas. “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's 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,” adds Vasi Philomin, vice-president of AI services at AWS. “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.”

SKF’s John Schmidt: end-users will gain more insights

SKF:  Twitter  LinkedIn  Facebook

Amazon Web ServicesTwitter  Facebook




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