Aircraft Component Health Data Analysis
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Solution Overview
Problem
Transforming health management data from aircraft components into actionable information is time-consuming and tedious, often relying on anecdotal methods for issue resolution.
Innovation Solution
A system comprising a server and scanning device that identifies components removed for reasons other than failure, indicating potential serviceability by analyzing health management data and generating alerts for actionable use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If health management data is manually transformed into actionable information, then accuracy can be maintained, but time consumption and labor intensity increase significantly
Solution Approach 1:
The patent replaces manual mechanical analysis of health management data with an automated computer-based system that processes sensor data, component status, and removal reasons through algorithms to automatically identify potentially serviceable components, eliminating manual labor while maintaining accuracy
Solution Approach 2:
The system enables self-service by automatically processing health management data and generating actionable information without requiring human intervention, allowing the system to identify serviceable components autonomously based on predefined criteria and data patterns
2Reliability
If all removed components are assumed to need replacement, then system reliability is maintained, but component utilization efficiency decreases
Solution Approach 1:
The patent implements feedback by systematically analyzing removal reasons and component status data to provide actionable information that distinguishes between components needing replacement and those that are potentially serviceable, enabling data-driven decisions that maintain reliability while improving utilization
Solution Approach 2:
The system changes the parameter of component status classification from binary (serviceable/not serviceable) to a more nuanced state (potentially serviceable, needs replacement, under maintenance) based on analysis of removal reasons and health management data, enabling more efficient component management
3Loss of information
If comprehensive health management data is collected from all components, then measurement completeness is improved, but data processing complexity increases
Solution Approach 1:
The patent extracts only the relevant information needed for identifying potentially serviceable components from the comprehensive health management data, focusing on removal reasons and component status rather than processing all available sensor data, thereby reducing processing complexity while maintaining information completeness
Data Source
AI summary
Methods and systems are provided for managing a system that includes at least one component. The one component is removed from the system. If it is determined that the one component was removed from the system for a reason that is not failure of the one component, then it is indicated that the one component is potentially serviceable.


