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.

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.

公开(公告)号：US20240228057A1

公开(公告)日：2024-07-11

申请号：US18559698

申请日：2022-04-21

Applicant: LEONARDO S.P.A.

Inventor： Mara Tanelli ,  Jessica Leoni ,  Alberto Bellazzi ,  Francesca Bianchi ,  Luigi Bottasso ,  Andrea Palman

IPC: B64D45/00 ,  B64F5/60 ,  B64C27/12

CPC classification number: B64D45/00 ,  B64F5/60 ,  B64C27/12 ,  B64D2045/0085

Abstract: A computer-implemented method is described for detecting anomalies in a transmission system of an aircraft equipped with a monitoring system, which includes a number of sensors coupled to the transmission system and determines, for each flight of the aircraft a number of respective time intervals and acquires through each sensor, for each of the time intervals, a corresponding primary signal indicative of a corresponding dynamic quantity dependent on the operation of the transmission system during at least part of the time interval. For each sensor, the monitoring system determines, starting from each primary signal acquired through the sensor during a corresponding time interval, a corresponding set of values of at least one corresponding group of synthetic indexes. The method includes detecting anomalies of the transmission system on the basis of the groups of synthetic indexes.

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

IPC: G06F17/17 ,  B64D45/00 ,  G06F17/16

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.