公开(公告)号：US20230316051A1

公开(公告)日：2023-10-05

申请号：US17795095

申请日：2021-09-18

Applicant: DALIAN UNIVERSITY OF TECHNOLOGY

Inventor： Ximing SUN ,  Yuhui LI ,  Fuxiang QUAN

IPC: G06N3/049 ,  F04D27/00 ,  G06N3/048 ,  G06N3/0455

CPC classification number: G06N3/049 ,  F04D27/001 ,  G06N3/048 ,  G06N3/0455

Abstract: A pre-alarming method for rotary stall of compressors based on a temporal dilated convolutional neural network includes firstly, preprocessing dynamic pressure data of an aero-engine, and dividing a test dataset and a training dataset from experimental data; secondly, constructing a temporal convolutional network module, a Resnet-v network module and a temporal dilated convolutional network prediction model in sequence, and saving an optimal prediction model. Finally, conducting real-time prediction on test data: adjusting data dimension of the test dataset according to input requirements of the temporal dilated convolutional network prediction model; calculating predicted surge probability of each sample by the temporal dilated convolutional network prediction model in chronological order; calculating real-time surge probability of a pair of samples with and without covariates by the temporal dilated convolutional network prediction model, and observing improvement action of covariates on model prediction effect.