SKF's wireless technology
17/08/2022
SKF has joined forces with Amazon Web Services (AWS) to develop a wireless technology that it claims reinvents the fields of industrial machine reliability and predictive maintenance. The automated condition monitoring system, called Axios, promises manufacturers a simple and affordable wireless technology for monitoring more of their rotating equipment.
The system is the first result of a collaboration between the two companies that was announced earlier this year. It consists of sensors, gateways and a machine learning service that is easy to install, commission and scale with no experience needed, allowing sensors and apps to be up and running within minutes. It collects and analyses vibration and temperature data and, if it detects any anomalies, it sends notifications to users, allowing them to take quick action to avoid unexpected machine failures. The more data that is collected, the smarter and more accurate the anomaly detection becomes.
SKF has said that the cloud-based system complements its existing portfolio of condition monitoring products, providing industrial companies with a simple way to expand their predictive maintenance programmes for rotating assets.
“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 & CEO at SKF USA Inc. “Through leveraging these insights and SKF’s knowledge of rotating equipment, customers can improve machine performance and the overall reliability of their operations.”
Vasi Philomin, Vice President of AI services at AWS, added that the new system “represents a tremendous opportunity for industrial customers of all sizes to benefit from scalable, data-driven, machine learning technologies”. It will enable industrial users “to make better decisions faster, increasing operational efficiency and reducing the costs associated with unplanned equipment downtime”.
