Real-Time Automatic Anomaly Detection Approach Designed for Electrified Railway Power System

Computer Science

• Detection Process 100%
• Simulation Mode 50%
• Design 50%
• Classification 50%
• Data Analysis 50%
• Monitoring System 50%
• Recognition Rate 50%
• Feature Extraction 50%
• Anomaly Detection 50%
• Convolutional Neural Network 50%

Physics

• Performance 100%
• Model 50%
• Quality 50%
• Stability 50%
• Data Transmission 50%
• Acceleration (Physics) 50%