Maneuver-based deep learning parameter identification of vehicle suspensions subjected to performance degradation

Keyphrases

• Performance Degradation 100%
• Parameter Identification 100%
• Deep Learning 100%
• Maneuver-based 100%
• Vehicle Suspension 100%
• Learning Parameters 100%
• Damping Coefficient 80%
• Stiffness Coefficient 80%
• Deep Neural Network 80%
• Vehicle State 60%
• Parameter Identification Method 40%
• Suspension Parameters 40%
• Vehicle State Parameters 40%
• Dynamic Properties 20%
• Inverse Dynamics 20%
• Model Accuracy 20%
• Dynamic Simulation 20%
• Model Dynamics 20%
• Sensor Networks 20%
• Tire 20%
• Vehicle System 20%
• Fault Diagnosis 20%
• Condition Monitoring 20%
• State Data 20%
• Hidden Layer 20%
• Novel Parameters 20%
• Full Vehicle 20%
• Multibody Formulation 20%
• Chassis Frame 20%
• Bumpy Road 20%
• Multibody Model 20%

Engineering

• Performance Degradation 100%
• Vehicle Suspensions 100%
• Damping Coefficient 100%
• Deep Neural Network 100%
• Deep Learning Method 100%
• Network Model 75%
• Dynamic Property 25%
• Sensor Network 25%
• Road 25%
• Input Data 25%
• Data Sample 25%
• Fault Diagnosis 25%
• Hidden Layer 25%
• Neural Network Input 25%
• Multibody Model 25%