Aircraft Fault Isolation Using In-Flight Parameter Capture

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Current methods for fault isolation and maintenance in aircraft are labor-intensive and limited by the inability to accurately recreate flight conditions on the ground, leading to ineffective diagnosis and correction of faults.

Innovation Solution

An electronic control unit with processors and memory modules that identify faults during flight, measure relevant parameters, and determine whether these values are within acceptable ranges, thereby guiding maintenance procedures based on actual flight conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual fault isolation procedures are used with ground-based measurements, then maintenance can be performed, but diagnostic accuracy is limited because flight conditions cannot be recreated

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidability to recreate flight conditions
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system performs preliminary action by automatically recording fault data, environmental parameters, and operational conditions at the moment a fault occurs during flight. This preliminary data collection enables accurate later analysis without needing to recreate flight conditions, as the actual flight data is already captured and stored for maintenance personnel to review.

Inventive Principle:
Principle #10Preliminary action

2Ease of repair

If traditional manual fault isolation procedures are used, then maintenance can be performed, but the process is highly labor intensive

Engineering Contradiction:
Improvefault isolation capabilityVSAvoidmaintenance efficiency
Core Design Contradiction:
Ease of repairVSProductivity

Solution Approach 1:

The system implements self-service by automatically performing fault detection, data recording, and preliminary analysis without requiring extensive manual intervention. The electronic control unit autonomously monitors aircraft systems, identifies faults, and compiles relevant data, reducing the maintenance crew's workload to reviewing automated findings rather than performing manual measurements and diagnostics.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces manual mechanical measurement processes with automated electronic monitoring and data collection systems. Instead of maintenance personnel physically measuring parameters during fault isolation, electronic sensors and control units automatically capture and transmit data, substituting mechanical human operations with automated electronic systems.

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

3Loss of information

If limited fault information is recorded during flight, then storage requirements are minimized, but the effectiveness of ground-based fault isolation is reduced

Engineering Contradiction:
Improvefault information completenessVSAvoiddata storage requirements
Core Design Contradiction:
Loss of informationVSQuantity of substance

Solution Approach 1:

The system applies extraction by selectively capturing and storing only the specific fault-related data and environmental parameters relevant to diagnostic needs. Rather than storing all possible aircraft operational data, the system extracts and records only the critical information associated with detected faults, maintaining data completeness for diagnosis while minimizing unnecessary storage requirements.

Inventive Principle:
Principle #2Taking out (Extraction)

Data Source

PatentUS11753187B2System and method for performing enhanced maintenance of aircraft
Publication Date: 2023.09.12 GE AVIATION SYSTEMS LLC
  • US11753187B2 patent drawing
  • US11753187B2 patent drawing
  • US11753187B2 patent drawing

AI summary

A method of performing fault isolation for an aircraft comprises identifying a fault that occurs during a flight of the aircraft; identifying a first set of parameters associated with the aircraft based on the identification of the fault; automatically determining values of the first set of parameters to obtain a first set of measured values; determining whether the first set of measured values are within acceptable ranges; and identifying a source of the fault based on the determination of whether the first set of measured values are within the acceptable ranges.