Simple and Scalable End-to-End Predictive Maintenance Solution Coming to North America

SKF has launched SKF Axios, a solution that reinvents the fields of industrial machine reliability and predictive maintenance in a collaboration between SKF and Amazon Web Services, Inc. (AWS).

Manufacturers want to use simple and affordable wireless technology to monitor more equipment in their facilities. SKF Axios is a fully automated condition monitoring solution that fulfills this need. It is comprised of sensors, gateways and a machine learning service that is easy to install, commission, and scale with no experience necessary, allowing sensors and apps to be operational within minutes. It detects anomalies and pushes notifications allowing for quick action to avoid unexpected machine failures.

"With SKF Axios, we are able to provide a larger portion of the industrial market with actionable insights leading to improved decision making and more efficient maintenance planning and scheduling," said John Schmidt, President Industrial Region Americas of SKF. "Through leveraging these insights and SKF's knowledge of rotating equipment, customers can improve machine performance and overall reliability of their operations."

"SKF Axios represents a tremendous opportunity for industrial customers of all sizes to benefit from scalable, data-driven, machine-learning technologies offered by AWS. These solutions enable industrial customers to make better decisions faster, increasing operational efficiency, and reducing the costs associated with unplanned equipment downtime," said Vasi Philomin, Vice President of AI Services at AWS.

Inventory for SKF Axios is expected to be available in July 2022 in North America.

Want more information? Click below.

SKF Axios

Rate this article

[Simple and Scalable End-to-End Predictive Maintenance Solution Coming to North America]

Very interesting, with information I can use
Interesting, with information I may use
Interesting, but not applicable to my operation
Not interesting or inaccurate

E-mail Address (required):

Comments:


Type the number:



 

Copyright © 2022 by Nelson Publishing, Inc. All rights reserved. Reproduction Prohibited.
View our terms of use and privacy policy ::m::