Making Future Machines Smart
We provide condition monitoring and predictive maintenance through our advanced tribology and sensor technology.
Watch our short video to find out more about what we do.
Detect early signs of wear and enable real-time monitoring
Optimise Maintenance
Reduce Downtime
Extend Equipment Life
Our Product
Our machinery condition monitoring system integrates a multi-sensing approach with an AI-based detection system to monitor wear evolution. The multi-sensing system incorporates traditional condition monitoring methods such as vibration, temperature, and friction, and an advanced electrostatic sensing technique. Our research group (national Centre for Advanced Tribology at Southampton, nCATS) has conducted over 20 years of research into electrostatic sensing and has achieved promising research outcomes.
Data fused by the sensors is processed through machine learning algorithms, specifically outlier detection methods, which identify abnormal events in the data that may signify potential failures. By integrating this data with tribological knowledge, the system can diagnose the health condition of machines and pinpoint specific failure modes.
The timing of the project fits with UK’s goal to reach net zero by 2050. Achieving net zero requires companies to invest in renewable energy sources, reducing reliance on fossil fuels and lowering emissions.
Get in touch
If you are involved in condition monitoring or tribological testing we would love to hear your thoughts on our technology.
Please get in touch via email or sign up below for the latest updates as we develop.
