Abstract: The invention relates to a method of analyzing flight data recorded during N flights of at least one aircraft, by means of a flight data recorder of an aircraft, the data being grouped together by flight i in a signature vector of the flight Xi of size d, the components of which correspond to data recorded during said flight i of the aircraft, a flight i being thus defined by the signature vector Xi, the method comprising the following steps: Gaussian kernel entropy component analysis of the flight signatures Xi to obtain a zone of normal flights and classifying the flight signatures Xi with respect to their distance to said zone; determining, for each flight i, an abnormality score zi defined by the distance of a flight signature Xi with respect to the zone of normal flights; detecting, as a function of the abnormality score zi, at least one abnormal flight.

Abstract: The invention relates to a method of analysing flight data recorded during N flights of at least one aircraft, by means of a flight data recorder of an aircraft, the data being grouped together by flight i in a signature vector of the flight Xi of size d, the components of which correspond to data recorded during said flight i of the aircraft, a flight i being thus defined by the signature vector Xi, the method comprising the following steps: Gaussian kernel entropy component analysis of the flight signatures Xi to obtain a zone of normal flights and classifying the flight signatures Xi with respect to their distance to said zone; determining, for each flight i, an abnormality score zi defined by the distance of a flight signature Xi with respect to the zone of normal flights; detecting, as a function of the abnormality score zi, at least one abnormal flight.