IndRNN-Based Data-Driven Modeling Integrated With Physical Knowledge for Engine Performance Monitoring

Engineering

• Engine Performance 100%
• Recurrent Neural Network 100%
• Aircraft Engine 75%
• Relative Error 50%
• Gas Temperature 50%
• Exhaust Gas 50%
• Network Component 50%
• Control System 25%
• Civil Aircraft 25%
• Transients 25%
• Turbine 25%
• Deep Learning Method 25%
• Long Short-Term Memory 25%
• Turbofan Engine 25%
• Flight Safety 25%
• Paramount Importance 25%
• Data Transfer 25%