Time Domain Full Vehicle Interior Noise Calculation from Component Level Data by Machine Learning

Keyphrases

• Machine Learning 100%
• Artificial Neural Network 100%
• Component Level 100%
• Noise Calculation 100%
• Full Vehicle 100%
• Vehicle Interior Noise 100%
• Sound Pressure Level 66%
• System Description 66%
• Noise Vibration 66%
• Harshness 66%
• Learning Systems 33%
• Computational Model 33%
• Vehicle System 33%
• Neural Network Architecture 33%
• Supervised Learning 33%
• Quality Criteria 33%
• Trainable 33%
• System Response 33%
• Correlation Analysis 33%
• Psychoacoustics 33%
• Measurement Techniques 33%
• Data Reduction 33%
• Video Processing 33%
• Noise Level 33%
• Network Parameters 33%
• Audio Processing 33%
• Audio-Video 33%
• Learning Environment 33%
• Steering System 33%
• Validation Data 33%
• Data-driven Approach 33%
• Time Domain Data 33%
• Prediction Process 33%
• Deterministic System 33%
• Structural Health Monitoring 33%
• Acceleration Level 33%
• Numerical Simulation Method 33%
• Traffic Noise 33%
• Multivariate Regression 33%
• Machine Learning Noise 33%
• Noise Transfer 33%
• Pattern Recognizing 33%
• Vehicle Noise 33%
• Input Selection 33%
• Passenger Seat 33%
• Passenger Cabin 33%
• Operational Measurement 33%
• Neural Network Performance 33%

Engineering

• Time Domain 100%
• Component Level 100%
• Interior Noise 100%
• Learning System 100%
• Sound Pressure Level 66%
• Noise Vibration and Harshness 66%
• System Description 66%
• Artificial Neural Network 66%
• Automotives 33%
• Acceleration Component 33%
• System Response 33%
• Data Reduction 33%
• Simulation Method 33%
• Network Parameter 33%
• Development Process 33%
• Neural Network Architecture 33%
• Structural Health Monitoring 33%
• Steering System 33%
• Quality Criterion 33%
• Passenger Seat 33%
• Audio Signal Processing 33%
• Video Processing 33%
• Noise Level 33%