PREDICTIVE AIRCRAFT MAINTENANCE SYSTEMS AND METHODS INCORPORATING CLASSIFIER ENSEMBLES
First Claim
1. A method (100) of determining a performance status of a selected component (24) in an aircraft (20), the method comprising:
- extracting (104) feature data from flight data collected during a flight of the aircraft, wherein the feature data relates to performance of one or more components (24) of the aircraft;
applying (106) an ensemble of related classifiers (66) configured to identify categories to which the feature data belong to produce a classifier indicator for each classifier of the ensemble of related classifiers, wherein each classifier is configured to indicate a category of the selected component of the aircraft within a given number of future flights, and wherein the given number for each classifier is different;
aggregating (108) the classifier indicators to produce an aggregate indicator that indicates an aggregate category of the selected component for a threshold number of future flights, wherein the threshold number is greater than or equal to a maximum of the given numbers of the classifiers; and
determining (110) the performance status of the selected component relative to the threshold number of future flights based on the aggregate indicator.
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Abstract
Predictive aircraft maintenance systems and methods are disclosed. Predictive maintenance methods may include extracting feature data from flight data collected during a flight of the aircraft, applying an ensemble of related classifiers to produce a classifier indicator for each classifier of the ensemble of classifiers, aggregating the classifier indicators to produce an aggregate indicator indicating an aggregate category of a selected component for a threshold number of future flights, and determining the performance status of the selected component based on the aggregate indicator. The classifiers are each configured to indicate a category of the selected component within a given number of flights. The given number of flights for each classifier is different. The threshold number of future flights is greater than or equal to the maximum of the given numbers of the classifiers. Predictive maintenance systems may include modules configured to extract feature data, classify feature data, and aggregate classifications.
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Citations
20 Claims
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1. A method (100) of determining a performance status of a selected component (24) in an aircraft (20), the method comprising:
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extracting (104) feature data from flight data collected during a flight of the aircraft, wherein the feature data relates to performance of one or more components (24) of the aircraft; applying (106) an ensemble of related classifiers (66) configured to identify categories to which the feature data belong to produce a classifier indicator for each classifier of the ensemble of related classifiers, wherein each classifier is configured to indicate a category of the selected component of the aircraft within a given number of future flights, and wherein the given number for each classifier is different; aggregating (108) the classifier indicators to produce an aggregate indicator that indicates an aggregate category of the selected component for a threshold number of future flights, wherein the threshold number is greater than or equal to a maximum of the given numbers of the classifiers; and determining (110) the performance status of the selected component relative to the threshold number of future flights based on the aggregate indicator. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A system (10) for determining a performance category of a selected component (24) in an aircraft (20), the system comprising:
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a feature extraction module (62) configured to extract feature data from flight data collected during a flight of the aircraft, wherein the feature data relates to performance of one or more components of the aircraft; a classification module (64) configured to produce a classifier indicator for each classifier of an ensemble of related classifiers (66), wherein each classifier is configured to indicate a category of the selected component of the aircraft within a given number of future flights based upon the feature data, and wherein the given number for each classifier is different; and an aggregation module (68) configured to produce an aggregate indicator that indicates a performance category of the selected component for a threshold number of future flights, wherein the threshold number is greater than or equal to a maximum of the given numbers of the classifiers. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19, 20)
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Specification