In Machine Learning

In an article covering the demand for new technologies, SpaceTime Insight’s CTO Paul Hofmann says digital twins benefit from machine learning, making them more effective than condition-based models at predicting failures. Software models tied to physical and virtual sensors can help predict product or service failures so that organizations are able to plan and assign resources to make repairs before the failure occurs. Advances in machine learning and the adoption of IoT technology are helping to bring down costs for this sort of predictive “digital twin” modeling.  See the section of the article on Digital Twins.

Recommended Posts

Leave a Comment

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Predict Asset Failure chartdrill machine, hammer, mechanic tools in the workshop