An evaluation of autoencoder and sparse filter as automated feature extraction process for automotive damper defect diagnosis

Keyphrases

• Autoencoder 100%
• Feature Extraction Methods 100%
• Automated Feature Extraction 100%
• Damper 100%
• Sparse Filtering 100%
• Defect Diagnosis 100%
• Classification Performance 50%
• Feature Engineering 50%
• Autonomous Driving 50%
• Machine Learning Algorithms 50%
• Measure Data 50%
• Engineering Method 50%
• Actual Measurement 50%
• Health Monitoring 50%
• Health Status 50%
• Sensor Readings 50%
• Vehicle Electronics 50%
• Feature Generation 50%
• Electronic Stability Program 50%
• Driver Perception 50%
• Vehicle Suspension System 50%
• Vehicle Damper 50%
• Sensor Signals 50%
• Automated Features 50%

Engineering

• Automotives 100%
• Feature Extraction 100%
• Autoencoder 100%
• Extraction Process 100%
• Measurement Data 50%
• Engineering Method 50%
• Suspension System 50%
• Classification Performance 50%
• Vehicle Suspensions 50%
• Sensor Signal 50%
• Sensor Reading 50%
• Health Monitoring 50%
• Machine Learning Algorithm 50%