Automated Maintenance Diagnostic Entry Storage
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Solution Overview
Problem
Current maintenance systems for vehicles lack an efficient method to analyze fault messages and maintenance event logs to automatically identify corrective actions, leading to suboptimal maintenance procedures and lack of retrievable diagnostic entries for future similar issues.
Innovation Solution
A method and system that receive fault messages and maintenance event logs, automatically identify corrective actions within the most recent maintenance event, and store diagnostic entries including the fault message and action, making them retrievable for evaluating subsequent similar messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual analysis of maintenance event logs is used to identify corrective actions, then maintenance personnel can address fault messages, but the process is time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical analysis of maintenance event logs with an automated computer-based system that uses processors to retrieve, analyze, and identify corrective actions from fault messages and maintenance logs, significantly improving efficiency and reducing time loss
Solution Approach 2:
The system enables self-service by automatically retrieving maintenance event logs, analyzing fault messages, and identifying corrective actions without requiring manual intervention, allowing the system to serve itself in the diagnostic process
2Loss of information
If diagnostic entries are not systematically stored, then maintenance systems have simpler data storage requirements, but there is no retrievable diagnostic information for future similar issues
Solution Approach 1:
The system performs preliminary action by systematically storing diagnostic entries including fault messages and identified corrective actions in a database during current maintenance events, making this information readily available for evaluating subsequent similar fault messages without requiring complex ad-hoc retrieval systems
Solution Approach 2:
The system implements feedback by storing diagnostic entries that capture the relationship between fault messages and corrective actions, allowing future fault messages to be evaluated against historical data to improve diagnostic accuracy and maintainability
Data Source
AI summary
Methods and maintenance systems for use in analyzing data related to maintenance of at least one vehicle are disclosed. One example method includes receiving at least one fault message, receiving a maintenance event log for a vehicle. The maintenance event log including at least one maintenance event associated with the at least one fault message. The example method further includes automatically identifying a corrective action within a most recent maintenance event of the at least one maintenance event and storing a diagnostic entry including the at least one fault message and the identified corrective action, such that the diagnostic entry is retrievable from the computing device to evaluate a subsequent like fault message.


