1 results about "Anomaly detection algorithm" patented technology

The invention discloses an engine parameter detection method which is characterized by comprising the following steps: acquiring a plurality of engine parameters of a plurality of sorts of an airplane; obtaining a time series data set formed by each engine parameter of a single sortie; performing anomaly detection on the engine parameters of each time series data set through an anomaly detection algorithm based on a probability statistics model, and calculating an average value, a standard deviation and probability statistics model parameters of each single sortie engine parameter; for each engine parameter, constructing a support vector machine classification model through the calculated multiple groups of average values, standard deviations and probability statistics model parameters; and calculating an average value and a standard deviation of the engine parameters of the new sortie, predicting corresponding probability statistics model parameters through a support vector machine model, and obtaining abnormal data in the probability statistics model parameters of the aircraft engine of the new sortie by the probability statistics model parameters through an anomaly detection algorithm based on a probability statistics model. The method can effectively predict the health condition of the aircraft engine.