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Discover SKF Axios


The first line of defense for your machinery. SKF Axios is a simple, scalable and cloud-based predictive maintenance solution from SKF and Amazon Web Services (AWS). It works out-of-the-box and is easy to install, with no technical expertise or vibration experience required.

SKF Axios is ideal for virtually any industry.* From food processing to pulp and paper to pharmaceutical to utilities to universities and hospitals, and so much more.

Always on
Automated equipment monitoring trends your machine data, detects anomalies around the clock, and sends alerts when you need to take action.

Always with you
Whether on your phone, tablet, or PC, condition monitoring data and alerts are at your fingertips.

Always one step ahead
Make more informed decisions and avoid issues before they occur. The more data collected, the smarter the machine learning becomes. SKF Axios constantly evolves to safeguard your equipment.

 


Purchasing Options

Peace of Mind for Maintenance & Reliability Teams

• Fully automated wireless technology for 3-axis vibration & temperature data collection
• Uses machine learning to detect anomalies & notify users
• Cost-effective & scalable

How SKF Axios Works:


When SKF Axios detects abnormal machine conditions, users are alerted so they can respond with proper maintenance. Historical trend data is the basis for machine learning. The more data collected, the smarter and more accurate the machine anomaly detection becomes.

 

 


*The Axios solution is designed for rotating equipment in safe operating conditions. It is not intended for use in consumer appliances and hazardous area applications such as (but not limited to) power generation and off-shore oil and gas stations.


DISCLAIMER: The above content is provided by the supplier. Applied® does not guarantee the accuracy or timeliness of the content. 
The above content is provided “AS IS”, AND ANY AND ALL EXPRESS AND IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS ARE HEREBY EXCLUDED.
All warranties, if any, are solely from the supplier.