A combination of the COVID-19 pandemic and the maturation of artificial intelligence (AI) and machine learning (ML) analytics has pushed process plants to accelerate digital transformation. However, that’s often easier said than done, with the pandemic itself having done a lot to disrupt plans for digital adoption.
Predictive maintenance (PdM) is seen as one of the lower-hanging fruits of digital transformation. It uses ML analytics on big data from industrial Internet of Things (IIoT) devices and plant sensors to spot the earliest signs of impending part failures, so you can save time and money carrying out smaller, less expensive fixes before small issues snowball into serious crises and/or unplanned shutdowns.
But plants at the beginning of their digital journey often struggle to successfully implement PdM solutions, lacking employees with both the time and capabilities to manage a new PdM solution and follow up on the alerts it provides. That’s where PdM as a Service comes into play. PdM as a Service puts an Analytical Monitoring Center (AMC) at your disposal to help you respond to PdM alerts, assisting you in tapping into the benefits of digitalization while you advance your digital transformation strategy.
In this webinar, Robert Nijhuis, Manager of Digital Solutions, Western Europe, at SAMSON, and Defina Rajakumar, process engineer at one of SAMSON’s Analytical Monitoring Centers, will share their expertise about how to take advantage of the new way of working and the effective techniques that will transform the digitalization of your process plant.
When: March 31
Time: 11 am CDT