SKF Axios is a comprehensive, wireless, and scalable predictive maintenance solution developed by collaborating with SKF and Amazon Web Services (AWS).
This system monitors machinery health by continuously collecting and analysing vibration and temperature data.
At Acorn we're proud to be a SKF maintenance product partner
SKF Axios sensors operate wirelessly, making installation and deployment easy without the need for extensive cabling. They use robust communication protocols to ensure reliable data transmission to the gateways.
It collects 3-axis vibration and temperature data and can be mounted on various machinery components to capture the relevant data. Typical battery life lasts up to 5 years with a measurement frequency of one reading per hour.
IP69 rated, making it suitable for harsh environments and washdown applications.
SKF Axios gateways play a crucial role in the SKF Axios predictive maintenance ecosystem by facilitating the seamless transmission of data collected by the wireless sensors to the cloud for analysis.
The gateway transmits the data collected by the sensors into the cloud. It can use WiFi or Ethernet connections to do transmit to the AWS cloud.
It is simple to install and configure, requiring no specialised technical experience.
It works by analysing the sensor data using machine learning algorithms to detect anomalies and predict potential issues. AWS Cloud services provide the scalability needed to handle large volumes of data from numerous sensors across multiple sites.
AWS cloud services stores historical trend data, which helps improve the accuracy of anomaly detection over time.This data is crucial for companies that can help prevent machine downtime.
SKF Axios offers both mobile apps and web-based portals, making it accessible on various devices such as smartphones, tablets, and PCs. This flexibility ensures that users can monitor equipment health anytime and anywhere​.
The user interfaces provide real-time visualization of data collected from the sensors. This includes graphs and charts showing vibration levels, temperature trends, and other critical parameters.
SKF Axios is a versatile predictive maintenance solution applicable across a variety of industries due to its robust data collection and analysis capabilities.
Here are some of the primary applications of SKF Axios:
Manufacturing
Food Processing
Pharmaceuticals
Machine tools
Pulp and Paper
Universities
Healthcare
These examples demonstrate the versatility of SKF Axios in improving maintenance practices across various sectors by leveraging its advanced data collection and analysis capabilities.
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Up to 100 users can be added to an SKF Axios project.
Yes, data can be exported in .csv format or set up for live data export using SKF Axios data integration services.
Yes, internet connectivity via Wi-Fi or cellular data is required to commission the sensors.
No, alarm levels are automatically set and adjusted based on the ISO 20816 standard and machine learning. Users can provide feedback if an alarm is deemed non-valid to help adjust the system's baseline.