INDRNN-BASED DATA-DRIVEN MODELING INTEGRATED WITH PHYSICAL KNOWLEDGE FOR ENGINE PERFORMANCE MONITORING

Engineering

• Aircraft Engine 100%
• Civil Aircraft 33%
• Control System 33%
• Data Transfer 33%
• Deep Learning Method 33%
• Engine Performance 100%
• Exhaust Gas 66%
• Flight Safety 33%
• Gas Temperature 66%
• Long Short-Term Memory 33%
• Network Component 66%
• Paramount Importance 33%
• Recurrent Neural Network 100%
• Relative Error 66%
• Transients 33%
• Turbine 33%
• Turbofan Engine 33%