Abstract: A method for determining a fault for a set of sensors, comprising: obtaining data, said data comprising a plurality of measurements returned respectively by the sensors and a plurality of estimates determined respectively by a plurality of estimators taking as input different subsets of said measurements, at least one of the estimators comprising an artificial neural network; calculating residuals representative of the deviation between data representing the same physical quantity; determining that there is a fault on at least one of the sensors as a function of the residuals calculated based on data obtained from measurements returned by said sensor.