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

VSEngineering 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

Engineering Contradiction:
Improveaccuracy of component status identificationVSAvoidtime to transform health management data into actionable information
Core Design Contradiction:
Measurement precisionVSLoss of time

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

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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

Inventive Principle:
Principle #25Self-service

2Reliability

If all removed components are assumed to need replacement, then system reliability is maintained, but component utilization efficiency decreases

Engineering Contradiction:
Improvesystem reliabilityVSAvoidcomponent utilization efficiency
Core Design Contradiction:
ReliabilityVSProductivity

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

Inventive Principle:
Principle #23Feedback

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

Inventive Principle:
Principle #35Parameter changes

3Loss of information

If comprehensive health management data is collected from all components, then measurement completeness is improved, but data processing complexity increases

Engineering Contradiction:
Improvecompleteness of component status informationVSAvoidcomplexity of data processing system
Core Design Contradiction:
Loss of informationVSDevice complexity

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

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS9555902B1Fleet performance optimization tool enhancement
Publication Date: 2017.01.31 THE BOEING CO
  • US9555902B1 patent drawing
  • US9555902B1 patent drawing
  • US9555902B1 patent drawing

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.