Bearing diagnosis using an anti-noise neural network based on selectable branch multi-scale modules and attention mechanisms (August 2023)
Author:
Affiliation:
1. School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing, China
Funder
National Natural Science Foundation of China
Beijing Municipal Natural Science Foundation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/4427201/10345497.pdf?arnumber=10345497
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3. Intelligent Framework for Bearing Fault Diagnosis in High-Noise Environments: A Location-Focused Soft Threshold Denoising Approach;IEEE Sensors Journal;2024-04-01
4. A TLOT train gearbox fault diagnosis method based on ridge extraction under variable speed conditions;Measurement Science and Technology;2024-03-15
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