A method for detecting an atypical behavior of telemetry parameters, each parameter being measured during a learning time interval (IA) and a detection time interval (ID) subsequent to the learning time interval (IA), the method including for each parameter a learning phase (PA) and a detection phase (PD); the learning phase (PA) including the determination of a nominal behavior boundary ( f ) of the corresponding parameter from the measurements of this parameter acquired during the learning interval (IA); the detection phase (PD) including the following steps of: - dividing the detection time interval (ID) into a plurality of time frames ( F i ); - for each obtained time frame ( F i ), calculating a set of descriptors ( D j ) representative of the behavior of the corresponding parameter, the descriptors ( D j ) being calculated according to the measurements of this parameter in this time frame ( F i ), and forming an initial vector ( V i ) of descriptors ( D j ) from the calculated descriptors ( D j ); - normalizing the initial vectors ( V i ) of descriptors ( D j ); - for each initial vector ( V i ) of descriptors ( D j ) , reducing the dimension of this initial vector ( V i ) of descriptors ( D j ) to form a reduced vector ( v i ) of descriptors ( D j ) , each component of the reduced vector ( v i ) of descriptors ( D j ) corresponding to a linear combination of the components of the initial vector ( V i ) of descriptors ( D j ) from which this reduced vector ( v i ) of descriptors ( D j ) has been formed; - determining the belonging of each reduced vector ( v i ) of descriptors ( D j ) to a domain ( D ) delimited by the nominal behavior boundary ( f ) of the corresponding parameter; - when a reduced vector ( v i ) of descriptors ( D j ) is outside the field ( D ), generating a warning corresponding to an atypical behavior of the corresponding parameter in the time frame ( F i ) corresponding to this reduced vector ( v i ) of descriptors ( D j ) . - dividing the detection time interval (ID) into a plurality of time frames ( F i ); - for each obtained time frame ( F i ), calculating a set of descriptors ( D j ) representative of the behavior of the corresponding parameter, the descriptors ( D j ) being calculated according to the measurements of this parameter in this time frame ( F i ), and forming an initial vector ( V i ) of descriptors ( D j ) from the calculated descriptors ( D j ); - normalizing the initial vectors ( V i ) of descriptors ( D j ); - for each initial vector ( V i ) of descriptors ( D j ) , reducing the dimension of this initial vector ( V i ) of descriptors ( D j ) to form a reduced vector ( v i ) of descriptors ( D j ) , each component of the reduced vector ( v i ) of descriptors ( D j ) corresponding to a linear combination of the components of the initial vector ( V i ) of descriptors ( D j ) from which this reduced vector ( v i ) of descriptors ( D j ) has been formed; - determining the belonging of each reduced vector ( v i ) of descriptors ( D j ) to a domain ( D ) delimited by the nominal behavior boundary ( f ) of the corresponding parameter; - when a reduced vector ( v i ) of descriptors ( D j ) is outside the field ( D ), generating a warning corresponding to an atypical behavior of the corresponding parameter in the time frame ( F i ) corresponding to this reduced vector ( v i ) of descriptors ( D j ) . <EOS>