VARIATIONAL MODE DECOMPOSITION AND RESIDUAL NETWORK-BASED AVIATION BEARING FAULT DIAGNOSIS METHOD

WIPO Patent Application WO/2023/123593

A1

A variational mode decomposition and residual network-based aviation bearing fault diagnosis method, which relates to the technical field of electromechanical system fault diagnosis. The method comprises the following steps: collecting acceleration signals of different positions and directions by means of a vibration acceleration sensor to serve as sample data; by means of normalization, slicing, variational mode decomposition and labeling processing, converting the sample data into a target data type, and obtaining a training sample set; constructing a 1D-ResNet model, inputting the training sample set into the 1D-ResNet model for training until the model converges, and storing model parameters; and diagnosing a bearing fault of an aero-engine by means of the trained 1D-ResNet model to obtain a diagnosis result. Fault diagnosis and analysis are performed on a bearing of an aero-engine rotating mechanical part on the basis of the variational mode decomposition and a residual network, thus improving the diagnosis accuracy, and providing an accurate and reliable basis for maintenance workers.

WAN ANPING (CN)
YANG JIE (CN)
YUAN JIANTAO (CN)
WANG JINGLIN (CN)
SHAN TIANMIN (CN)
GAN ZHIHUA (CN)
WANG BO (CN)
CHEN TING (CN)
LUO GUANQUN (CN)

PCT/CN2022/073740

July 06, 2023

January 25, 2022

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UNIV ZHEJIANG CITY COLLEGE (CN)

G06K9/00; G06K9/62

CN111797567A	2020-10-20
CN111175054A	2020-05-19
CN111220373A	2020-06-02
CN111351665A	2020-06-30
CN113469060A	2021-10-01
CN112903294A	2021-06-04
CN112798280A	2021-05-14
RU2018139891A	2020-05-12

RZBC PATENT AGENCY (GENERAL PARTNERSHIP) (CN)

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