Thursday 29th November, 14:30 GMT
Where: Online (link will be sent once registered)
Condition monitoring is not a new idea, but traditional barriers of cost, complexity and scalability have previously prevented many more businesses from enjoying the enormous benefits on offer. However, we are now at a tipping point where new technologies such as Industry 4.0 are sweeping those barriers away. For many manufacturers and process operators, the time is right to look again at condition monitoring.
In this webinar you will have the opportunity to understand the changes that are currently taking place, what organizations need to consider for future implementations and how Senseye reduces unplanned machine downtime by 50%, integrating with your existing Industry 4.0 investments!
Guest speaker: We will be joined by Steve McEvoy, CEO of Prism Nova Ltd. Prism Nova provides consultancy and advisory services in machinery health and condition monitoring across a wide range of business sectors. A key focus area is the innovation of affordable solutions which can exploit the transfer of proven helicopter HUMS technology to more scalable applications (incl. manufacturing, rail and marine).
- The evolution of maintenance
- The types of data condition monitoring systems rely on
- How Senseye works automatically to drive down downtime
This webinar will be of particular interest to maintenance & production engineers/managers, as well as manufacturing operations executives. The content is designed to ease everyone into Predictive Maintenance, prognostics and machine health.
Senseye™ is the leading cloud-based software for Predictive Maintenance. It helps manufacturers avoid downtime and save money by automatically forecasting machine failure without the need for expert manual analysis. Its intelligent and proprietary machine-learning algorithms allow it to be used on any machine from any manufacturer, taking information from existing Industrial 4.0 sensors and platforms to automatically diagnose failures and provide the remaining useful life of machinery all at scale.
Feel free to share this invitation with your colleagues and networks. We look forward to you joining us.
This webinar will be recorded so even if you can’t make the live session, register now to receive the link to the recorded webinar.
For more information or to get in touch please email firstname.lastname@example.org or call +44 (0)845 838 8615.