System status monitoring and fault diagnosis are crucial for the operation of nuclear power equipment. To verify the accuracy of monitoring and diagnosis results, this paper constructs a fluid flow and heat transfer experimental platform to simulate common faults in pumps and pipelines, and establishes a coupled system integrating a monitoring and diagnosis module with a real-time simulation model based on the NUMAP platform. This system enables online status monitoring and fault diagnosis during experiments, while utilizing the real-time simulation model to achieve digital shadowing. When a fault occurs in the experimental setup, the monitoring and diagnosis module switches the corresponding component in the real-time simulation model to a fault state, and the accuracy of monitoring and diagnosis is verified by comparing simulation data with experimental data. Experiments demonstrate that the system can respond quickly to fault conditions and effectively evaluate the reliability of monitoring and diagnosis results. The coupled system developed in this paper provides a feasible foundation for the development of digital twin systems for nuclear power equipment.

Monitoring and Diagnosis;Real-time Simulation;NUMAP;Digital Twin