Predicting failures in an aircraft
First Claim
1. A method for predicting failures in an aircraft, the method comprising analyzing a current behavior of at least one flight parameter of the aircraft to detect any deviation of the current behavior relative to a preconstructed behavior model of the flight parameter, the behavior model being constructed in a preliminary learning phase from a plurality of series of learning data relating to the flight parameter that have been collected during flights of a set of aircraft, wherein detection of any deviation of the current behavior of the flight parameter relative to the preconstructed behavior model of the flight parameter comprises:
- collecting, on each current flight, a current series of data from measurements relating to the flight parameter;
segmenting the current series of data into a predetermined number of segments to transform it into a current string of segments, the predetermined number of segments being defined by the preconstructed behavior model;
aligning the segments of the current string of segments relative to a reference string of segments defined by the preconstructed behavior model;
assigning predetermined characteristic measurements to the current string of segments to generate a current measurement vector; and
computing a distance between the current measurement vector and a reference measurement vector defined by the preconstructed behavior model, a value of the distance being representative of a normal or deviant behavior of the flight parameter.
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Abstract
The disclosure herein proposes identifying precursors to all the phenomena which can have an impact on the service use of an aircraft. It relates to a system for predicting failures in an aircraft, including a processor configured to analyze a current behavior of at least one flight parameter of the aircraft to detect any deviation of the current behavior relative to a predetermined behavior model of the parameter, the behavior model being determined from a plurality of series of learning data relating to the parameter collected during the flights of a set of aircraft.
19 Citations
19 Claims
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1. A method for predicting failures in an aircraft, the method comprising analyzing a current behavior of at least one flight parameter of the aircraft to detect any deviation of the current behavior relative to a preconstructed behavior model of the flight parameter, the behavior model being constructed in a preliminary learning phase from a plurality of series of learning data relating to the flight parameter that have been collected during flights of a set of aircraft, wherein detection of any deviation of the current behavior of the flight parameter relative to the preconstructed behavior model of the flight parameter comprises:
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collecting, on each current flight, a current series of data from measurements relating to the flight parameter; segmenting the current series of data into a predetermined number of segments to transform it into a current string of segments, the predetermined number of segments being defined by the preconstructed behavior model; aligning the segments of the current string of segments relative to a reference string of segments defined by the preconstructed behavior model; assigning predetermined characteristic measurements to the current string of segments to generate a current measurement vector; and computing a distance between the current measurement vector and a reference measurement vector defined by the preconstructed behavior model, a value of the distance being representative of a normal or deviant behavior of the flight parameter. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A system for predicting failures in an aircraft, comprising a processor configured to analyze a current behavior of at least one flight parameter of the aircraft to detect any deviation of the current behavior relative to a predetermined behavior model of the flight parameter, the behavior model being determined from a plurality of series of learning data relating to the flight parameter collected during flights of a set of aircraft and detection of any deviation of behavior of a flight parameter comprising:
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collecting, on each current flight, a current series of data from measurements relating to the flight parameter; segmenting the current series of data into a predetermined number of segments to transform it into a current string of segments, the number of segments being defined by the behavior model; aligning the segments of the current string of segments relative to a reference string of segments defined by the behavior model; assigning predetermined characteristic measurements to the current string of segments to generate a current measurement vector; and computing a distance between the current measurement vector and a reference measurement vector defined by the behavior model, a value of the distance being representative of a normal or deviant behavior of the flight parameter. - View Dependent Claims (11, 12, 13, 14, 15, 16, 17, 18, 19)
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Specification