Method for predicting failure of aero-engine

Abstract

An embodiment of the invention discloses a method for predicting a failure of an aero-engine, which comprises the following steps: collecting parameter data in an engine recording system to obtain anengine vibration signal, and determining a training data set and test data based on the parameter data; constructing an LSTM neural network model by using a python platform, and determining a signal margin spectrum according to the training data set and the LSTM (Long Short Term Memory) neural network; constructing a BP neural network model by using the python platform, training a BP (Backward Propagation) neural network by using a marginal spectrum characteristic training set, and acquiring and storing parameters of the BP neural network after convergence of training; and predicting a failureof the aero-engine according to the trained BP neural network model. Through adoption of the method of the invention, the failure of the aero-engine can be predicted.

Description

technical field [0001] The invention relates to the field of aero-engines, in particular to an aero-engine failure prediction method. Background technique [0002] The aero-engine is the most important part of the aircraft, and its reliability and safety are extremely important. However, the structure of the aero-engine is very complex, there are many parts, and the environmental conditions are complex and changeable. Many parts work in harsh environments such as high temperature, high pressure, high-speed rotation, and strong vibration, and are subjected to high loads and thermal shocks, so they are prone to failure. Engine failure is related to the safe flight of the aircraft, and failure prediction is usually required. [0003] How to predict the failure of aero-engine is a problem that needs to be solved at present. Contents of the invention [0004] An embodiment of the present invention provides an aeroengine failure prediction method capable of predicting aeroengi...

AI Technical Summary

Problems solved by technology

However, the structure of the aero-engine is very complex, there are many parts, and the environmental conditions are complex and changeable. Many parts work in harsh environments such as high temperature, high pressure, high-speed rotation, and strong vibration, and are subjected to high loads and thermal shocks, so they are prone to failure. The failure of the engine is related to the safe flight of the aircraft, and failure prediction is usually required

Images