The article focuses on the research of fault prediction and health management for hydropower plant equipment based on digital twin

expounds on the technical principles of digital twin technology

analyzes the great significance of its application in the field of hydropower plant equipment

and details the equipment fault prediction methods (including links such as model construction and data processing) as well as equipment health management methods based on this technology. Studies have shown that digital twin technology can significantly improve the accuracy of hydropower plant equipment fault prediction and the level of equipment health management

ensure the safe and efficient operation of hydropower plants

and provide new paths and technical support for equipment management in the hydropower industry.