Aircraft Engine Health Factor Modeling for Torque Limit Accuracy
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Solution Overview
Problem
Current methods for determining the engine torque factor of aircraft gas turbine engines are overly conservative due to their reliance on nominal engine degradation models, failing to account for individual engine degradation rates and operating conditions, leading to premature maintenance and overhaul.
Innovation Solution
A method that determines engine limit factors during operation, corrects them to a normalized condition, and modifies baseline engine health factors based on real-time ambient conditions to provide a tailored engine torque factor specific to the particular aircraft engine.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If baseline engine power models based on nominal engine degradation are used to determine engine torque factor, then a standardized assessment method is provided, but the engine torque factor thresholds become overly conservative and lead to premature maintenance
Solution Approach 1:
The patent transforms the engine torque factor determination from a static threshold-based approach to a dynamic model-based approach. It changes the parameters by incorporating actual engine operating conditions (temperature, pressure, speed) and individual engine degradation characteristics into the assessment model, allowing the torque factor threshold to adapt to each engine's unique performance trajectory rather than using a one-size-fits-all conservative threshold
Solution Approach 2:
The patent implements a feedback mechanism where actual engine performance data is continuously monitored and fed back into the power model. The model compares actual engine parameters against predicted values and adjusts the torque factor determination accordingly. This closed-loop feedback system enables the system to learn individual engine degradation patterns and adjust maintenance thresholds dynamically, preventing premature maintenance decisions
2Measurement precision
If individualized engine power models are developed to account for specific degradation rates, then more accurate engine torque factor determination is achieved, but the system complexity increases
Solution Approach 1:
The patent creates a dynamic power model that adapts to individual engine characteristics through continuous learning. Rather than developing complex static models for each engine, the system uses a dynamic approach where the model evolves over time by incorporating actual operating data. This allows the system to capture individual degradation patterns without requiring overly complex initial model configurations
Solution Approach 2:
The patent segments the engine assessment into multiple independent parameters (temperature, pressure, speed, power output) that can be evaluated separately and then integrated. This modular segmentation allows the complex assessment to be broken down into manageable components, each with its own measurement and correction logic, reducing overall system complexity while maintaining high measurement precision
Data Source
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AI summary
A method 100 is provided for determining an updated engine health factor of an aircraft engine. The method includes determining 102 an engine health condition indicative of an engine health during operation of the aircraft engine. The method also includes determining 106 a baseline engine power model for the aircraft engine and modifying 108 the baseline engine power model using the determined engine condition. The method also determines 110 an engine health factor based on a modified engine power model.