A solution which is said to reinvent the fields of industrial machine reliability and predictive maintenance based on a collaboration between SKF and Amazon Web Services (AWS), was recently launched on the international stage.

SKF Axios is a fully automated condition monitoring solution designed to enable manufacturers to use simple and affordable wireless technology to monitor more equipment in their facilities. It is comprised of sensors, gateways and a machine learning service that the company says is easy to install, commission and scale, allowing sensors and applications (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. Through leveraging these insights and SKF’s knowledge of rotating equipment, customers can improve machine performance and overall reliability of their operations,” says SKF president industrial region Americas John Schmidt.

AWS VP: AI services Vasi Philomin adds: “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. We remain committed to offering our expertise in cloud solutions, IoT systems, and machine learning to enable SKF to constantly innovate and enhance their industrial products and services.”