Thermodynamic Simulation-assisted Random Forest：Towards explainable fault diagnosis of combustion chamber components of marine diesel engines

Research on Explainable Analysis Based on Random Forest

🔬 Thermodynamic Simulation-Assisted

Leverages high-fidelity thermodynamic models to generate augmented data, overcoming the shortage of experimental samples.

Deconstructs the "black-box" Random Forest model to intuitively visualize the impact weight of various parameters on faults.

Focused on large-scale marine diesel engines, providing early warning and precise localization for combustion chamber faults.