ACMS Report Filtering for Spurious Aircraft Maintenance Alerts

The patent applies preliminary action by implementing a filter device that preprocesses flight data reports before they reach the maintenance scheduling system. The filter device identifies and removes spurious data patterns (such as impossible sensor readings, duplicate reports, and erroneous trouble codes) in advance, ensuring that only valid data triggers maintenance actions. This preliminary filtering prevents the generation of unnecessary maintenance schedules while maintaining reliable monitoring of actual aircraft conditions.

The patent applies the extraction principle by separating valid flight data from spurious data through a dedicated filter device. The filter extracts only meaningful maintenance-relevant information from the total ACMS report stream by identifying and excluding erroneous patterns such as impossible parameter values, duplicate fault reports, and sensor malfunctions. This extraction ensures complete monitoring of actual aircraft issues while eliminating time-wasting false alarms that would otherwise require unnecessary maintenance interventions.

The patent applies segmentation by dividing the filtering function into distinct modular components within the filter device. Each module handles specific types of spurious data identification (sensor validation, duplicate detection, error pattern recognition, etc.). This segmented approach maintains high data collection productivity by processing all flight data items in real-time while managing system complexity through organized, specialized filtering modules rather than a single complex filtering system.