From Physics-Based Models to Predictive Digital Twins via Interpretable Machine Learning

23 Apr 2020Michael G. KapteynKaren E. Willcox

This work develops a methodology for creating a data-driven digital twin from a library of physics-based models representing various asset states. The digital twin is updated using interpretable machine learning... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.