Data set about Gas turbine engine monitoring system based on digital thermodynamical twin

The proposed system integrates thermodynamic modeling, structural analysis, real-time data acquisition, and machine learning algorithms to enable intelligent fault detection and remaining useful life estimation. A comprehensive thermodynamic model of a turbojet engine was developed using MATLAB/Simulink to simulate engine performance across a wide range of operating conditions and fault scenarios.

In parallel, finite element analysis was conducted to assess thermal and mechanical stress distribution in critical components, such as combustion chamber, turbine blades and compressor discs, under realistic flight loads. Experimental validation was performed using a hardware-in-the-loop simulation environment, which emulated real-time sensor behavior, including vibration, pressure, temperature, and oil quality metrics.