Bearing Fault Detection and Diagnosis Based on Densely Connected Convolutional Networks
Authors
College of Computer Science and Electronic Engineering, Hunan University, China
jeremie.ndikumagenge@ub.edu.bi
Faculty of Engineering Science, Department of Information and Communication Technology, University of Burundi, Burundi
Language: English
Page range: 130 - 135
Submitted on: Dec 18, 2021
Accepted on: Feb 12, 2022
Published on: Mar 24, 2022
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
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© 2022 Julius Niyongabo, Yingjie Zhang, Jérémie Ndikumagenge, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.