Aircraft Engine Monitoring With On-Board Abnormality Detection
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Solution Overview
Problem
Current predictive maintenance strategies for aircraft engines require manual operations by expert operators on the ground, leading to delays and inefficiencies due to the need for analyzing extensive flight data, which can result in late communication of maintenance recommendations and increased downtime.
Innovation Solution
A method for monitoring aircraft engines during flight missions that acquires and normalizes measurements of engine behavior and context variables, generates a current model, detects abnormalities, and transmits maintenance messages on board the aircraft, eliminating the need for ground-based manual processing and enabling quicker maintenance operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual operations by expert operators on the ground are used to analyze flight data, then maintenance decision accuracy is improved, but maintenance time and operational downtime increase
Solution Approach 1:
The monitoring system performs self-diagnosis by automatically detecting abnormalities in engine behavior through on-board processing of flight data. The system generates maintenance messages autonomously without requiring manual analysis by ground operators, thereby reducing maintenance time while maintaining decision accuracy through automated anomaly detection algorithms.
Solution Approach 2:
The system performs preliminary analysis of engine data during flight missions, normalizing measurements and generating current models in real-time. By preparing maintenance recommendations during the flight rather than after landing, the system eliminates ground processing delays and enables faster maintenance decision-making.
2Reliability
If extensive flight data is collected and analyzed on the ground, then comprehensive maintenance assessment is improved, but processing time and operational efficiency deteriorate
Solution Approach 1:
The system performs data normalization, current model generation, and abnormality detection during the flight mission itself. By completing the analytical work in-flight rather than after landing, the system maintains comprehensive assessment quality while eliminating ground processing delays, thereby improving operational efficiency.
Solution Approach 2:
The patent replaces the mechanical process of manual data analysis by ground operators with an automated on-board electronic processing system. This substitution enables rapid real-time analysis of extensive flight data without human intervention, maintaining assessment completeness while dramatically improving processing speed and operational efficiency.
3Measurement precision
If maintenance operations are determined by ground-based analysis, then expert judgment quality is improved, but communication delay and response time increase
Solution Approach 1:
The monitoring system generates maintenance messages autonomously during flight based on real-time engine data analysis. By eliminating the need for ground operator intervention in the decision-making process, the system maintains high recommendation quality through automated algorithms while achieving immediate transmission of maintenance alerts, thereby improving communication speed.
4Device complexity
If flight data is transmitted to ground for processing, then centralized analysis capability is improved, but transmission dependency and processing delay increase
Solution Approach 1:
The system performs all critical analysis functions (data normalization, current model generation, abnormality detection) during the flight mission itself. By completing processing in-flight, the system eliminates dependency on ground transmission and processing, thereby reducing processing delay while maintaining centralized analysis capability through on-board computing resources.
Solution Approach 2:
The patent shifts the location of data processing from the ground dimension to the on-board aircraft dimension. By moving the analysis capability to the flight environment, the system maintains centralized processing functionality while eliminating transmission delays and ground-based processing bottlenecks.
Data Source
AI summary
The invention relates to a method for monitoring at least one aircraft engine, said method including an acquisition (100) according to the first and second sets of measurements of respectively endogenous and exogenous variables. The method also includes:a normalization (200) of the measurements of the first set relative to the measurements of the second set,a generation (300) of a current model representative of the evolution of the behavior of the engine based on the normalized measurements,a detection (400) of potential abnormality in the behavior of the engine based on a comparison of the current model with a reference model,a generation (500) of a maintenance message,a transmission (600) of said ground message,the acquisition, normalization, generation of a current model, the detection and generation of a maintenance message being made on board the aircraft.