As asset reliability collaborators within the industrial
segment, SKF and AWS are taking scalability of condition monitoring
and data analysis to a new level as well as collaborating on the
next generation of SKF's condition monitoring
technologies.
GOTHENBURG, Sweden,
April 26, 2022 /PRNewswire/
-- SKF and Amazon Web Services, Inc. (AWS), an Amazon.com,
Inc. company have announced a collaboration to reinvent the field
of industrial machine reliability and predictive maintenance with a
joint solution. The engagement will deliver an easy-to-use and
easy-to-scale condition monitoring and analysis solution that makes
the ability to collect and analyze 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 AI
services that bring industrial expertise, AI and machine
learning technologies together. The solution is comprised of
sensors, gateways and a machine learning service that is 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 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, enabling
smarter, better decision making, and more efficient maintenance
planning and scheduling. The same solution can also be utilized by
entry-level users and small to mid-sized manufacturers, making the
ability to use AI-driven analysis available to a larger portion of
the industrial market segment.
John Schmidt, President
Industrial Region Americas of SKF, says: "The key to maximizing 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."
Vasi Philomin, Vice President of
AI Services at AWS says: "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. 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."
Aktiebolaget SKF
(publ)
CONTACT:
For further information, please contact:
PRESS: Carl Bjernstam, Group Communication
tel: 46 31-337 2517; mobile: 46 722-201 893; e-mail:
carl.bjernstam@skf.com
INVESTOR RELATIONS: Patrik
Stenberg, Head of Investor Relations
tel: 46 31-337 2104; mobile: 46 705-472 104;
patrik.stenberg@skf.com
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