Maintenance outfield aircraft fuel system fault prediction method based on flight parameter data

The invention provides an aircraft fuel system fault prediction method based on flight parameter data. The method comprises the following steps that a time series data set composed of N aircraft parameters sensitive to faults in an aircraft fuel system is obtained; constructing a long-short-term neural network model according to the time series data set, and obtaining an actual prediction result of the time series data set according to the long-short-term neural network model; determining a fault discrimination model f (x) according to the time series data set; acquiring a real data set of fault conditions of a part of known aircraft fuel systems, and determining a fault threshold according to the fault discrimination model f (x) and the real data set; and determining the probability density of an actual prediction result according to the fault discrimination model, and judging the health condition of the aircraft fuel system by comparing the probability density of the actual prediction result with a fault th