Multiscale Fusion Attention Convolutional Neural Network for Fault Diagnosis of Aero-Engine Rolling Bearing
Author:
Affiliation:
1. College of Information Engineering and Automation, Civil Aviation University of China, Tianjin, China
2. School of Information and Electrical Engineering, China Agricultural University, Beijing, China
Funder
Natural Science Foundation of Tianjin
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10235271/10197343.pdf?arnumber=10197343
Reference31 articles.
1. New Method for the fault diagnosis of rolling bearings based on a multiscale convolutional neural network;xu;J Vib Shock,2021
2. An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis
3. Intelligent fault diagnosis of aero-engine high-speed bearing using enhanced CNN;han;Acta Aeronautica et Astronautica Sinica,2022
4. Fault diagnosis of rolling bearings based on attention module and 1D-CNN;liu;Acta Energi Sin,2022
5. An Improving Fuzzy C-means Algorithm for Concept-Drifting Data Stream
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