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公开(公告)号:US20240411836A1
公开(公告)日:2024-12-12
申请号:US18698408
申请日:2022-10-11
Applicant: LEONARDO S.P.A.
Inventor: Andrea Baldi , Ugo Mariani , Daniele Mezzanzanica , Mara Tanelli , Jessica Leoni , Francesco Zinnari , Eugenia Villa
Abstract: Method implemented by computer for detecting flight regimes of an aircraft equipped with a monitoring system that acquires samples of quantities relative to the flight including: acquiring an unknown matrix including, for each quantity, a corresponding series of samples; performing smoothing operations of each series of samples, so as to generate a corresponding series of smoothed samples and determining a corresponding approximating function defined by a respective series of coefficients and by a plurality of base functions, the smoothed series of samples forming a smoothed unknown matrix; on the basis of the base functions, applying to the smoothed unknown matrix and to the corresponding sets of coefficients a classifier trained to generate, for each flight regime among a plurality of flight regimes, a corresponding estimate of the probability that the smoothed unknown matrix and the corresponding sets of coefficients belong to a cluster relative to the flight regime; identifying a flight regime in which the aircraft operated, on the basis of the estimates generated by the classifier.
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公开(公告)号:US20240105065A1
公开(公告)日:2024-03-28
申请号:US18267576
申请日:2021-12-17
Applicant: LEONARDO S.P.A.
Inventor: Andrea Baldi , Ugo Mariani , Daniele Mezzanzanica , Mara Tanelli , Francesco Zinnari , Giovanni Coral , Francesco Braghin , Gabriele Cazzulani
IPC: G08G5/00
CPC classification number: G08G5/0047 , G08G5/003
Abstract: Method implemented through a computer for detecting the execution, by an aircraft, of a manoeuvre belonging to a macrocategory among a plurality of macrocategories, including: receiving a data structure with a plurality of time series of values of quantities relating to a flight of the aircraft; for each time duration among a plurality of predetermined time durations, selecting a corresponding subset of the data structure and extracting a corresponding feature vector; on the basis of the feature vectors, generating a corresponding input macrovector and applying to the input macrovector an output classifier to generate estimates indicative of the probability that the aircraft was performing manoeuvres belonging to the macrocategories.
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公开(公告)号:US20250036942A1
公开(公告)日:2025-01-30
申请号:US18716392
申请日:2022-11-16
Applicant: LEONARDO S.P.A.
Inventor: Andrea Baldi , Ugo Mariani , Daniele Mezzanzanica , Mara Tanelli , Eugenia Villa , Francesco Zinnari , Giovanni Coral , Francesco Braghin , Gabriele Cazzulani
IPC: G06N3/08
Abstract: A computer-implemented method for classifying manoeuvres performed by an aircraft, including: acquiring a data structure including at least one unknown data matrix including a plurality of time series of samples of quantities related to the flight of the aircraft, the samples being relative to a succession of instants of time; applying to the unknown data matrix a neural network generating a corresponding probability matrix including, for each instant of time of the succession of instants of time, a corresponding probability vector including, for each class of a plurality of classes of manoeuvres, a corresponding estimate of the probability that, in the instant of time, the aircraft has performed a manoeuvre belonging to the class; and selecting, for each instant of time of the succession of instants of time, a corresponding class of manoeuvres, based on the probability estimates of the corresponding probability vector.
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