The food processing industry relies on the seamless performance of its equipment. SKF’s holistic approach to product design, engineering, and development integrates premium materials, state-of-the-art technologies, and user-centric solutions, ensuring reliability and efficiency that the industry demands.
Introducing SKF Axios—a revolutionary solution that perfectly aligns with these values. SKF Axios is a cloud-based, scalable, and cost-effective predictive maintenance system for rotating equipment, developed in collaboration with Amazon Web Services (AWS).
SKF Connected Technologies Manager, Miller Ollukaran, succinctly describes its functionality: “It’s possible to explain what SKF Axios does in one sentence. In a nutshell, this innovative automated equipment monitoring system trends users’ machine data, detects anomalies around the clock, and sends alerts when action is required.”
Operating continuously, SKF Axios acts as the first line of defence, vigilantly safeguarding critical food processing machinery. It offers users immediate access to vital information with the click of a button, ensuring that production lines remain uninterrupted and efficient. Through specially developed apps, users can access condition monitoring data and alerts on any smart device, ensuring they receive timely notifications of any anomalies.
SKF Axios employs state-of-the-art wireless technology to collect 3-axis vibration and temperature data automatically. Once the wireless sensors gather data from a diverse array of machinery, it is analysed, and notifications regarding the machinery’s health are promptly provided. Data is then transferred to the Cloud via Wi-Fi or Ethernet connection.
When abnormal machine conditions or anomalies are detected, SKF Axios alerts users, enabling them to make informed decisions and proactively address necessary maintenance. By pre-emptively tackling issues that could lead to machine failures, users can avoid downtime and production halts, achieving substantial cost savings and improved productivity.
Utilising AWS Cloud Services, SKF Axios leverages machine learning to analyse data. According to Ollukaran, “With historical trend data as the basis for machine learning, the more data the system collects, the smarter the machine learning becomes and the more accurate machine anomaly detection becomes. SKF Axios is essentially constantly evolving.”
One of the standout features of SKF Axios is its user-friendly design. It is ready to install and use straight out of the box, requiring no technical expertise or prior experience with vibration monitoring. This is particularly beneficial for food processing facilities looking to implement advanced monitoring without disrupting their existing operations.
As Ollukaran explains, “Users can start small and scale up to match their needs and budget. Many sensors can be added, even at different points in time, which will automatically connect to the closest gateway. Moreover, unlimited gateways can be added to the network.”
SKF Axios not only enhances operational efficiency but also contributes to sustainability efforts within the food processing industry. By reducing unplanned downtime and maintenance, it minimises waste and optimises resource utilisation. This aligns with the growing trend of sustainable practices in the industry.
SKF Axios is perfectly suited for a diverse range of industries, including food processing, mining, pulp and paper, pharmaceuticals, utilities, tertiary institutions, and medical facilities. By keeping users one step ahead, SKF Axios ensures ultimate peace of mind and operational efficiency across various sectors.
Stay ahead in the food processing industry with SKF Axios. Learn more here.