Aircraft Flight Profile Identification for Maintenance Context
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Solution Overview
Problem
Current aircraft failure reports lack contextual information about equipment usage and environment at the time of failure detection, limiting the ability to analyze causality links and make informed maintenance decisions.
Innovation Solution
A method that correlates predefined flight profiles with sensor data to identify the relevant flight context for equipment failures, involving data measurement, threshold comparison, and transmission of reference flight profiles to a centralized maintenance system for enhanced failure reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional failure reports are drafted without contextual information, then the reporting process is simple and quick, but the ability to analyze causality links and understand equipment failures is limited
Solution Approach 1:
The system pre-defines multiple flight profiles representing different flight contexts (takeoff, climb, cruise, descent, landing) and their associated environmental conditions before failures occur. When a failure is detected, the system automatically compares sensor data against these pre-defined profiles to identify the relevant flight context, eliminating the need for manual contextual analysis and restoring contextual information to failure reports
Solution Approach 2:
The invention introduces flight profiles as an intermediary layer between raw sensor data and failure analysis. These profiles act as a mediator that translates complex sensor measurements into meaningful flight context categories, enabling the maintenance system to understand equipment behavior in relation to specific flight phases without requiring direct complex processing of all sensor data
2Measurement precision
If comprehensive sensor data is collected and analyzed for every failure, then the accuracy of failure analysis is improved, but the processing time and computational resources increase
Solution Approach 1:
The system extracts only the most relevant contextual information needed for failure analysis by comparing sensor data against pre-defined flight profiles. Instead of processing and analyzing all available sensor data comprehensively, the system extracts key parameters (temperature, pressure, altitude trends) and matches them against stored profiles to quickly identify the flight context, significantly reducing processing time while maintaining analysis accuracy
Solution Approach 2:
The system uses a partial action approach by selectively collecting and processing only those sensor parameters that are relevant for identifying flight contexts (temperature, pressure, altitude) rather than processing all possible sensor data. This selective processing achieves sufficient accuracy for failure analysis while minimizing computational overhead and processing time
Data Source
AI summary
The method of identifying a flight profile of an aircraft, the aircraft including a centralized maintenance system and an item of equipment including a component designed to measure the environmental conditions, comprises:a first step of collecting data measured by a sensor of the component;a second step of comparing values measured by at least one sensor with predefined threshold values so as to store in a resource the values that exceed the threshold values;a third step of comparing at least one set of stored values with at least one predefined flight profile, a flight profile representing a trend of values measured by a sensor according to at least one item of information defining a flight context;a fourth step of identifying the flight profile that is closest to the set of values stored for a sensor.