Method and system aboard an aircraft for generating an anomaly report
First Claim
1. A system for generating an alert report on board an aircraft, the system comprising:
- an on-board acquiring module configured to acquire data relating to the aircraft, the data originating from at least one of sensors and equipment installed in the aircraft;
an on-board processing module configured to detect possible anomalies by automatically partitioning the data into a set of homogeneous groups, wherein the processing module is configured to automatically partition the data using a semi-supervised learning technique by comparing the data to abnormal learning data recorded in an on-board knowledge database;
an acquiring unit configured to acquire learning data relating to at least one aircraft;
a smoothing unit configured to smooth the learning data, thus forming smoothed learning data;
a processing unit configured to automatically partition the smoothed learning data using an unsupervised learning technique generating a first class of normal learning data and a second class of abnormal learning data;
a recording unit configured to record the abnormal learning data in a knowledge database corresponding to the on-board knowledge database;
an on-board alert-emitting module configured to emit an alert report on each detection of an anomaly; and
an on-board transmitting module configured to transmit the alert report to the ground and in real-time.
1 Assignment
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Accused Products
Abstract
A method and system for generating an alert report on board an aircraft, comprising an on-board acquiring module configured to acquire data relating to the aircraft, the data originating from sensors and/or equipment installed in the aircraft. An on-board processing module is configured to detect possible anomalies by automatically partitioning the data into a set of homogeneous groups, each anomaly being revealed by a corresponding datum belonging to no homogeneous group. An on-board alert-emitting module is configured to emit an alert report on each detection of an anomaly. An on-board transmitting module is configured to transmit the alert report to the ground and in real-time.
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Citations
6 Claims
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1. A system for generating an alert report on board an aircraft, the system comprising:
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an on-board acquiring module configured to acquire data relating to the aircraft, the data originating from at least one of sensors and equipment installed in the aircraft; an on-board processing module configured to detect possible anomalies by automatically partitioning the data into a set of homogeneous groups, wherein the processing module is configured to automatically partition the data using a semi-supervised learning technique by comparing the data to abnormal learning data recorded in an on-board knowledge database; an acquiring unit configured to acquire learning data relating to at least one aircraft; a smoothing unit configured to smooth the learning data, thus forming smoothed learning data; a processing unit configured to automatically partition the smoothed learning data using an unsupervised learning technique generating a first class of normal learning data and a second class of abnormal learning data; a recording unit configured to record the abnormal learning data in a knowledge database corresponding to the on-board knowledge database; an on-board alert-emitting module configured to emit an alert report on each detection of an anomaly; and an on-board transmitting module configured to transmit the alert report to the ground and in real-time. - View Dependent Claims (2, 3, 4)
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5. A method for generating an alert report on board an aircraft, comprising:
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acquiring data relating to the aircraft originating from at least one of sensors and equipment installed in the aircraft; detecting possible anomalies by automatically partitioning the data into a set of homogeneous groups, wherein the data is partitioned using a semi-supervised learning technique by comparing the data to abnormal learning data recorded in a knowledge database installed on board the aircraft, wherein the knowledge database is constructed on the ground by; acquiring learning data relating to at least one aircraft; smoothing the learning data, thus forming smoothed learning data; automatically partitioning the smoothed learning data using an unsupervised learning technique generating a first class of normal learning data and a second class of abnormal learning data; recording the abnormal learning data in the knowledge database; and installing the knowledge database on board the aircraft; emitting an alert report on each detection of an anomaly; and transmitting the alert report to the ground and in real-time. - View Dependent Claims (6)
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Specification