Airbus Operations (s.a.s.)

Centre National De La Recherche Scientifique

Institut Polytechnique De Grenoble

Institut National Polytechnique De Toulouse

Corinne Mailhes

Philippe Goupil

Patrice Brot

Rémy Dayre

Hervé Le Berre

Jean-Yves Tourneret

Patrice Michel

Emmanuel Fall

Florian Cazes

Marie Chabert

Timothée Gerber

The disclosure relates to a data fusion method for fusing the measurements of a parameter, for example an aircraft flight parameter, that are taken by a plurality of sensors comprising a set of main sensors and sets of secondary sensors. The discrepancy between each main measurement and the secondary measurements is determined and a score of consistency with them is deduced therefrom. For each fault configuration of the main sensors, a first estimation, so-called conditional, of the parameter is performed and a weighting coefficient relating to this fault is calculated, taking account of the consistency scores of the main measurements. The parameter is thereafter estimated by performing a combination of the conditional measurements with the associated weighting coefficients.

Method for fusing data from sensors using a consistency criterion

Embodiments of the disclosure include methods and devices in which a flight parameter vector for an aircraft is automatically estimated and then compared to a threshold to determine whether the flight parameter vector is accurate. The detection device estimates a coefficient vector in an observation window, calculates an estimated flight parameter value, and minimizes an error associated with the observation window when calculating the estimated flight parameter value of the flight parameter vector. Comparisons may be performed by a failure detector or a flight control computer to determine failures impacting the flight parameter vector.

Automatic estimation process and device for a flight parameter vector in an aircraft, as well as detection methods and assemblies for a failure affecting such a vector

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Toulouse, France

Corinne Mailhes