Maintenance Interval Optimization via Statistical Data Mapping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current maintenance scheduling for apparatuses like aircraft relies heavily on manual engineering analysis and limited data, leading to sub-optimized and costly maintenance practices due to lack of integration with unscheduled in-service data and inconsistent data formats, resulting in unnecessary maintenance and downtime.
Innovation Solution
A computer-implemented method and apparatus that maps unscheduled in-service maintenance data with scheduled maintenance data to perform statistical analysis, identifying an optimal maintenance interval using a statistical analysis scheduled maintenance optimization engine, which integrates engineering data to provide a recommended maintenance schedule.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual engineering analysis and limited scheduled maintenance data are used to determine maintenance intervals, then engineering judgment and conservatism can guide scheduling, but the maintenance scheduling is sub-optimized and results in unnecessary maintenance and downtime
Solution Approach 1:
The patent combines scheduled maintenance data with unscheduled in-service maintenance data into a unified dataset. This merging allows statistical analysis to leverage both planned and actual maintenance events, enabling optimized maintenance intervals that reduce unnecessary downtime while maintaining reliability.
Solution Approach 2:
The system uses statistical analysis of historical maintenance data to generate feedback on maintenance interval effectiveness. This feedback loop enables continuous optimization of maintenance schedules based on actual performance data, reducing both over-maintenance and under-maintenance scenarios.
2Quantity of substance
If scheduled maintenance data is collected from multiple operators, then more data is available for analysis, but the data is not submitted in a consistent format and submission is voluntary
Solution Approach 1:
The patent applies data mapping and standardization processes to transform heterogeneous maintenance data from multiple operators into a homogeneous, consistent format. This enables reliable statistical analysis across diverse data sources while maintaining data integrity and comparability.
Solution Approach 2:
The system introduces an intermediary data processing layer that standardizes and harmonizes maintenance data before analysis. This intermediary process handles format variations and ensures consistent data quality across different operator submissions.
3Reliability
If maintenance tasks are scheduled at conservative intervals based on engineering judgment, then safety and reliability are maintained, but operational costs increase due to unnecessary maintenance
Solution Approach 1:
The patent uses statistical analysis to dynamically adjust maintenance interval parameters based on actual equipment performance data. This replaces fixed conservative intervals with optimized variable intervals that maintain safety while reducing unnecessary maintenance activities and associated costs.
Solution Approach 2:
The system identifies and eliminates excessive maintenance actions that do not provide additional safety benefits. By analyzing actual failure patterns and maintenance effectiveness, the system determines the minimum necessary maintenance frequency to maintain reliability.
Data Source
AI summary
A computer implemented method, apparatus, and computer program product for identifying an interval for performing a maintenance task. The process retrieves scheduled maintenance data and un-scheduled in-service maintenance data for a given apparatus type. The process maps the un-scheduled in-service maintenance data to the scheduled maintenance data for the given apparatus type to form mapped maintenance data. The process performs a statistical analysis on the mapped maintenance data. The process identifies an optimal interval for performing the maintenance task based on a result of the statistical analysis to form a recommended maintenance interval.


