Charlotte Turnbull

Predictive Maintenance: Getting the most out of your Digital Twin

By far one of the most useful applications of a Digital Twin is predictive maintenance. The Digital Twin has come a long way since its inception and with the right tools in place, manufacturers can continue to actively adapt their design processes. Using vast amounts of data from sensors on the product, predictive models can be created to assist with diagnostics and improvements. There are many factors that determine the maintenance schedule for a machine, but the impact of dynamic loading on bearings, gears, and motors, is frequently overlooked because it is difficult to predict without a digital twin in place. This webinar outlines how a predictive maintenance strategy can maximize the value of your Digital Twin, save time and reduce costs.
Sprache: English
Dauer: 18 Minutes
Related Terms: Predictive-maintenance, Maintenance, Digital-twin, Motor