Rotating Machinery Fault Diagnosis Under Multiple Working Conditions via a Time-Series Transformer Enhanced by Convolutional Neural Network
Author:
Affiliation:
1. School of Engineering Science, University of Science and Technology of China, Hefei, China
2. Hefei Cement Research and Design Institute Company Ltd, Hefei, China
3. School of Civil Aviation, Northwestern Polytechnical University, Xi’an, China
Funder
Hefei Key Common Technology Research Plan
National Natural Science Foundation of China
Anhui Provincial Natural Science Foundation
Key Research and Development Plan of Anhui Province
Chinese Academy of Sciences Pioneer Hundred Talents Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/19/10012124/10262178.pdf?arnumber=10262178
Reference33 articles.
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4. A convolutional neural network based on a capsule network with strong generalization for bearing fault diagnosis
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