Aircraft telemetry parameter anomaly detection method based on uncertainty estimation

The invention discloses an aircraft telemetry parameter anomaly detection method based on uncertainty estimation, belongs to the technical field of data processing, and solves the problem that the confidence coefficient and overfitting of model estimation cannot be reflected in an existing method. The method comprises the following steps: establishing an LSTM-based aircraft multi-element telemetry parameter uncertainty representation estimation model; acquiring a test parameter set of multi-element telemetry parameters of the aircraft and test data of to-be-detected parameters, and performing feature selection on the test parameter set; performing feature fusion on the test feature parameter set; repeatedly inputting the test fusion feature parameter set into the LSTM-based aircraft multivariate telemetry parameter uncertainty representation estimation model to obtain an estimated value set of the to-be-detected parameters; obtaining a smooth dynamic threshold interval of the to-be-detected parameters; and ju