By classifying samples (data blocks) from a data set with a bearing errors (BEAF), we set up an ML where the probabilities for all classes are plotted. Based on this information we can detected several types of errors and improve maintenance of these structures.
You also might be interested in
The Medical Solutions Accelerator is back in 2021 to help promising start-ups develop successful medical innovations in an inspiring program.
Metri is the world’s first dynamic marketing platform. We automate[...]
Join the Medical Solutions Accelerator kick-off & network event to connect with successful medical entrepreneurs, investors & institutions.
This site uses Akismet to reduce spam. Learn how your comment data is processed.