Zhao Chen

Recent developments in data-driven and hybrid intelligent techniques for hydropower fault analysis

This review summarizes recent developments in machine learning, deep learning, physics-informed neural networks, and digital twin-assisted approaches for hydropower fault analysis, providing a possible way to integrate real-time monitoring, fault diagnosis, and operational assessment within a unified platform.