MULTI-FIDELITY NEURAL NETWORK REGRESSION FOR EFFICIENT TRAINING OF ENERGY-ASSISTED DIESEL ENGINE CONTROL SYSTEM

Keyphrases

• Multi-fidelity 100%
• Efficient Training 100%
• Cetane number 100%
• Neural Network Regression 100%
• Engine Control System 100%
• Diesel Engine Control 100%
• Ignition 66%
• Misfire 66%
• Controller 33%
• Control System 33%
• Neural Network 33%
• Diesel Engine 33%
• Combustion 33%
• Data-driven Model 33%
• Operating Conditions 33%
• URANS 33%
• Control Parameters 33%
• Pressure Data 33%
• Parametric Space 33%
• Artificial Neural Network 33%
• Traditional Training 33%
• Engine Control 33%
• Cylinder Pressure 33%
• In-cylinder Pressure 33%
• Unsteady Reynolds-averaged Navier-stokes Simulation 33%
• Sparse Experimental Data 33%
• Main Injection Timing 33%
• Bi-fidelity 33%
• Multi-fidelity Regression 33%
• Condition Control 33%
• Training Data Collection 33%

Engineering

• Diesel Engine 100%
• Control Systems 100%
• Antiknock Rating 100%
• Engine Control 100%
• Multi-Fidelity 100%
• Reynolds-Averaged Navier-Stokes 66%
• Ignition 66%
• Cylinder Pressure 66%
• Good Agreement 33%
• Simulation Result 33%
• Control Parameter 33%
• Parametric Space 33%
• Pressure Data 33%
• Pressure Profile 33%
• Engine Operating 33%
• Artificial Neural Network 33%