A Digital Twin Modeling Method for Turbofan Engine Real-time Test Data Analysis and Performance Monitoring

The turbofan engine is the main component of a power system in commercial aircraft, which provides thrust for the safe flight of the aircraft. The digital twin for the turbofan builds a virtual model corresponding to the real turbofan by using the operating mechanism, historical data, and real-time monitoring data. It can calculate multi-scale and high-fidelity data of turbofan engine in real-time and visually, and can also manage the turbofan engine data for the life cycle. One of the key functions of a digital twin is real-time test data analysis and performance monitoring. This paper realizes the key function by fusing the turbofan's mechanism model and the data-driven model. The verification with simulation data shows that the performance parameter monitoring error of the turbofan engine is within 20%.