Real-Time Simulation for Intelligent Fault Diagnosis and Condition-Based Monitoring of Electrical Machines

This article presents an overview of selected reserach focusing on digital real-time simulation (DRTS) with the primary aim of intelligent fault diagnosis (FD) and condition-based monitoring (CBM) of electrical machines. Conventional multiphysics offline digital simulations are widely utilized in the conceptualization and development phases of industrial product manufacturing and processing, particularly for virtual testing under both standard and extreme operating conditions as well as for aging assessments and lifecycle analysis. Recent advancements in data communication and information technologies, including virtual reality, cloud computing, parallel processing, machine learning, big data, and the Internet of Things, have facilitated the creation of intelligent physical and mathematical models. These models are distinguished by their ability to enable real-time bidirectional data exchanges with physical systems. This article highlights recent progress and key challenges in this emerging field, with particular emphasis on real-time multiphysics modeling to enhance the efficiency of FD and CBM of electrical machines, which play a crucial role in industrial applications.