Nuclear power plant rotating equipment intelligent fault diagnosis method and system based on digital twinning

The invention discloses an intelligent fault diagnosis method and system for rotating equipment of a nuclear power plant based on digital twinning, relates to the technical field of intelligent nuclear power plants, and solves the problem of insufficient fault data of the rotating equipment of the nuclear power plant by realizing mutual complementation of digital space and real space data through deep learning. The multi-source data integration of the diagnosis model is realized based on the idea of data fusion, so that the accuracy of the diagnosis result can be improved; the invention further provides an updating method of the digital twinborn model, it is guaranteed that the digital twinborn model can be updated when a new working condition is generated in the operation process of the nuclear power plant rotating equipment or the trained twinborn model cannot meet the requirement, and therefore the consistency of the digital twinborn model and the physical space model is guaranteed. 本发明公开了一种基于数字孪生的核电厂转动设备智