A predictable and reliable model due to UltraGrid

Challenge

Our data scientists have developed a machine learning method that makes it possible for computers to automatically select, train, and validate 1,000s of models. This method, called UltraGrid, combines all data from maintenance events with asset data to create a predictable and reliable model. While it has not yet been applied in the process industry, this method has brought us closer to 100% predictable maintenance thanks to the volume of plant data it generates.

Added value:
With this method, we made a next step to a scalable and fully automated solution. We can accomplish more in less time and at a much lower cost. This makes Condition Based Monitoring more attractive and more affordable for our customers.