Aircraft Maintenance Decision Support for Faster Logbook Troubleshooting
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Solution Overview
Problem
The existing maintenance procedures for aircraft, as documented in logbooks, are time-consuming and require multiple attempts to identify the correct maintenance procedure for technical failures, especially during turnaround time, due to the complexity of troubleshooting manuals and maintenance manuals.
Innovation Solution
A maintenance decision support method using a model that analyzes data from a fleet of aircraft logbooks to provide a list of relevant maintenance procedures based on similar or identical technical failures, including efficiency information and operational impact indicators, assisted by an electronic device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standard maintenance procedures using troubleshooting manuals and maintenance manuals are followed, then comprehensive maintenance decisions can be made, but the time required to resolve logbook entries increases significantly
Solution Approach 1:
The system pre-processes and stores maintenance procedures, troubleshooting steps, and historical data in a structured database before they are needed. When a logbook entry is made, the system can quickly retrieve and present relevant pre-analyzed information, reducing the time mechanics spend searching through manuals while maintaining comprehensive decision support
Solution Approach 2:
An intermediary software system is introduced between the logbook entry and the maintenance manuals. This intermediary automatically analyzes the logbook entry, queries the database for relevant procedures and historical data, and presents filtered results to the mechanic, eliminating the need to manually search through extensive manuals while ensuring comprehensive maintenance decisions
2Measurement precision
If detailed troubleshooting procedures are performed to identify the correct maintenance action, then accurate maintenance decisions are achieved, but the complexity of the maintenance process increases
Solution Approach 1:
The maintenance decision process is segmented into distinct automated steps: logbook entry capture, automatic analysis of the entry, database querying for relevant procedures, and presentation of structured results. This segmentation transforms a complex monolithic process into manageable discrete steps that are easier to follow while maintaining diagnostic accuracy
Solution Approach 2:
The software intermediary automatically performs the complex analysis and filtering of maintenance procedures, presenting only the most relevant steps to the mechanic. This intermediary handles the complexity of cross-referencing troubleshooting manuals and maintenance manuals, while the mechanic interacts with a simplified, focused procedure list
3Reliability
If multiple attempts are made to identify the correct maintenance procedure, then the correct procedure is eventually found, but productivity during turnaround time decreases
Solution Approach 1:
The system incorporates feedback mechanisms where the outcomes of maintenance procedures are tracked and stored. When similar logbook entries occur, the system can provide feedback based on historical success rates of different procedures, helping mechanics choose the most effective maintenance action on the first attempt and reducing the need for multiple trial attempts
Solution Approach 2:
The system pre-ranks and prioritizes maintenance procedures based on historical data and effectiveness metrics before presenting them to the mechanic. This preliminary ordering ensures that the most successful procedures are tried first, reducing the average number of attempts needed while maintaining high reliability in identifying the correct maintenance action
Data Source
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AI summary
A method is proposed to aid in maintenance decisions for a device, such as an aircraft, on which a technical failure is detected and recorded in a flight log, referred to as the "process entry." The method comprises: receiving the process entry; querying a model with the process entry; and providing a user with a result generated by the model. This result includes a list of responses associated with a group of entries selected by the model because they contain entries with a meaning identical or similar, in terms of describing the technical failure, to the meaning of the process entry. Using this list, the user can quickly and efficiently provide a response to the process entry. A method for building the model from data (inputs and responses) collected from the flight logs of a fleet of aircraft is also proposed.