Aircraft Flight Performance Degradation Detection for Icing
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Solution Overview
Problem
Current methods for detecting flight performance degradation due to icing on aircraft aerodynamic surfaces are complex, prone to false alarms, and require additional sensors or heating systems, leading to increased costs and fuel consumption, while existing solutions fail to reliably detect safety-critical icing conditions.
Innovation Solution
A method using a digital flight performance model to compare current flight performance indices with nominal reference indices, calculated from standard sensors, to detect flight performance degradation without additional sensors or complex systems, focusing on total energy change and drag coefficient analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If additional air pressure probes and sensors are arranged on the aircraft to monitor flight parameters and detect icing, then the detection completeness of icing conditions is improved, but the device complexity and weight increase significantly
Solution Approach 1:
The invention extracts and utilizes flight performance data already being collected by standard aircraft sensors (air speed, altitude, engine power, etc.) to detect icing conditions. Instead of adding dedicated icing sensors, the system takes out and repurposes existing sensor data for the dual purpose of normal flight monitoring and icing detection, thereby avoiding additional hardware complexity while maintaining detection capability
Solution Approach 2:
The evaluation unit performs multiple functions: it monitors standard flight parameters for normal operation and simultaneously analyzes these same parameters for icing detection. The system uses a universal set of sensors to serve both conventional flight control purposes and specialized icing detection purposes, eliminating the need for separate dedicated sensor systems
2Reliability
If a holistic concept with multiple sensors is implemented to detect all icing conditions, then the reliability of safety-critical icing detection is improved, but the cost and fuel consumption increase due to additional weight
Solution Approach 1:
The system uses the aircraft's existing flight performance data and standard sensors to detect icing conditions. The aircraft's own operational data serves the dual purpose of normal flight management and icing detection, eliminating the need for separate dedicated systems that would add weight and fuel consumption
3Measurement precision
If sensor values are compared with a sensor model to detect icing, then the detection capability is improved, but false alarms increase and acceptance by pilots decreases
Solution Approach 1:
The invention changes the detection approach from comparing sensor values against a sensor model to comparing actual flight performance against a digital flight performance model. This parameter change in the detection methodology uses physically-based flight performance relationships to identify icing conditions, providing more reliable detection with fewer false alarms that pilots can trust
Data Source
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AI summary
The invention relates to a method and to a device for detecting a degradation of flight performance of an aircraft that is in flight, wherein current flight status data of the aircraft that is in flight are first determined. A flight performance index is then calculated on the basis thereof. Furthermore, on the basis thereof, a nominal flight performance reference index is determined by means of a flight performance model, wherein a degradation of flight performance can be inferred by comparing the two indices.