Machine learning-based digital twin development for real-time monitoring of mechanical processes
Abstract. Machine learning (ML) and digital twin (DT) technology convergence hold revolutionary possibilities to real-time condition-based monitoring and predictive maintenance of complex mechanical systems. The current paper describes a new ML-based digital twin framework that incorporates a hybrid architecture of Lon...