Therefore, complex prognostics and intelligent maintenance system platforms can use digital twins in finding the root cause of issues and improve productivity.ĭigital twins of autonomous vehicles and their sensor suite embedded in a traffic and environment simulation have also been proposed as a means to overcome the significant development, testing and validation challenges for the automotive application, in particular when the related algorithms are based on artificial intelligence approaches that require extensive training data and validation data sets. In this field, sensory data can be combined with historical data, human expertise and fleet and simulation learning to improve the outcome of prognostics. A digital twin also can be used for monitoring, diagnostics and prognostics to optimize asset performance and utilization. Most often, digital twins are created for the purpose of modeling objects directly related to industrial production. The term Digital Twin can be used for more than just a vessel.
0 kommentar(er)
