Aircraft auxiliary power device air entraining performance prediction method and system based on incremental learning

The method comprises the following steps: acquiring parameter data of the aircraft auxiliary power device under different working conditions in a test process of a high-altitude test bed; the method comprises the following steps: preprocessing parameter data under different working conditions by ado...

Full description

Saved in:
Bibliographic Details
Main Authors WU BINYUN, WU XIYUN, ZHAO JIAN, FANG QUANSHEN, PI KAIWEN
Format Patent
LanguageChinese
English
Published 05.03.2024
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:The method comprises the following steps: acquiring parameter data of the aircraft auxiliary power device under different working conditions in a test process of a high-altitude test bed; the method comprises the following steps: preprocessing parameter data under different working conditions by adopting empirical mode decomposition and an improved wavelet threshold denoising fusion algorithm, carrying out normalization processing, constructing an input matrix required by a model by utilizing a time sequence of normalized data, and dividing the input matrix into a training set, a verification set and a test set; performing model training and evaluation on the CNN-GRU hybrid model according to a training set and a verification set under the nth working condition obtained by preprocessing to obtain a CNN-GRU initial hybrid model; the CNN-GRU initial hybrid model is retrained according to the training set and the verification set obtained through preprocessing under the (n + 1) th working condition, in the retra
Bibliography:Application Number: CN202311787728