Deep learning for automated drivetrain fault detection

Engineering

• Drivetrain 100%
• Detection 100%
• Deep Learning 100%
• Architecture 50%
• Performance 33%
• Rotors 16%
• Input Signal 16%
• Related Task 16%
• Gears 16%
• Feature Extraction 16%
• Level Feature 16%
• Convolutional Neural Network 16%
• Application Monitoring 16%
• Learning System 16%
• Models 16%
• Failure (Mechanical) 16%
• Accuracy 16%
• Demonstrates 16%
• Processing 16%
• Stages 16%
• Shallower 16%
• Monitoring System 16%

Physics

• Wind Turbine 100%
• Detection 100%
• Deep Learning 100%
• Vibration 33%
• Performance 33%
• Failure 16%
• Utilization 16%
• Model 16%
• View 16%
• Output 16%
• Learning 16%
• Time Dependence 16%
• Intelligence 16%

Computer Science

• Fault Detection 100%
• Deep Learning 100%
• Convolutional Neural Network 33%
• Performance Model 16%
• Artificial Intelligence 16%
• Feature Selection 16%
• Monitoring Application 16%
• Timeliness 16%
• Learning Systems 16%
• Deep Architecture 16%
• Accuracy 16%
• Monitoring System 16%
• Time Dependence 16%