Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark

1. 1Build a high-fidelity simulation model of an avionic main fuel pump system using MATLAB/Simulink Simscape Fluids
2. 2Generate time-series data from the simulation model to train anomaly detection and diagnosis algorithms
3. 3Configure and test machine learning algorithms for fault diagnosis using the generated data
4. 4Apply the trained algorithms to real-world data to evaluate their performance
5. 5Compare the results of different algorithms and simulation models to identify the most effective approach

Aerospace engineers and researchers working on anomaly detection and diagnosis in cyber-physical systems can benefit from this benchmark to improve their algorithms and models

💡 Physics-informed co-simulation can generate high-quality data for training anomaly detection and diagnosis algorithms in cyber-physical systems

Simulate and diagnose faults in avionic main fuel pumps with physics-informed co-simulation and ML algorithms #avionics #faultdiagnosis #machinelearning