Multi-tiered Regime Analysis for Aircraft Component Health
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Solution Overview
Problem
Current aircraft regime recognition methods lack accuracy as they primarily assess health on a vehicle level, ignoring the varying effects of different flight regimes on individual components, which are maintained and replaced on a component level, necessitating component-level regime recognition for precise inspection and replacement scheduling.
Innovation Solution
A system that tracks regime usage history at the component level, using a hierarchical regime definition scheme and a multi-tiered analysis engine to identify specific regimes affecting each component, incorporating measurement and health assessment systems to determine damage and adjust the remaining life of aircraft components.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If vehicle-level regime recognition is used, then the system complexity is reduced, but the measurement precision and maintenance accuracy deteriorate
Solution Approach 1:
The patent segments the aircraft system into multiple hierarchical tiers: vehicle-level regimes, component-level regimes, and sub-component regimes. Each tier analyzes specific data relevant to its level, allowing comprehensive component-level health assessment without requiring a single monolithic system to process all data at all levels simultaneously.
Solution Approach 2:
The patent introduces a hierarchical dimension to regime recognition, organizing analysis across multiple levels (vehicle → component → sub-component). This dimensional structure allows the system to maintain appropriate complexity at each level while achieving high precision at the component level through cumulative detailed analysis.
2Measurement precision
If component-level regime recognition is implemented, then the maintenance accuracy is improved, but the device complexity increases
Solution Approach 1:
The system divides regime recognition into segmented hierarchical levels where each level handles specific analysis tasks. Component-level regimes focus on component-specific parameters while sub-component regimes handle detailed element analysis, preventing any single module from becoming overly complex.
Solution Approach 2:
Each hierarchical level is assigned specific quality characteristics and analysis focuses appropriate to its level. Vehicle-level regimes handle overall flight conditions, component-level regimes handle component-specific operational characteristics, and sub-component regimes handle detailed element behavior, ensuring each part of the system has the appropriate complexity for its function.
3Reliability
If entire data sets are parsed for every analysis, then comprehensive behavior identification is achieved, but the processing time increases
Solution Approach 1:
The patent segments data processing across hierarchical levels, where each level processes only the data and regimes relevant to its specific analysis scope. This eliminates redundant processing of entire data sets at every level while maintaining comprehensive behavior identification through cumulative analysis across tiers.
Solution Approach 2:
The system performs preliminary regime identification at higher hierarchical levels before conducting detailed analysis at lower levels. By pre-identifying relevant regimes and filtering data at the vehicle and component levels, the system prepares processed information that reduces the burden on lower-level analyses, decreasing overall processing time while maintaining completeness.
Data Source
AI summary
A regime recognition system for an aircraft has a regime engine configured to identify a sub-regime performance of the aircraft only after having identified a top tier or top level regime performance that can include the sub-regime performance.