Have a personal or library account? Click to login
Stacked Auto-encoder Based Feature Transfer Learning and Optimized LSSVM-PSO Classifier in Bearing Fault Diagnosis Cover

Stacked Auto-encoder Based Feature Transfer Learning and Optimized LSSVM-PSO Classifier in Bearing Fault Diagnosis

Measurement Science Review
Volume 22 (2022): Issue 4 (August 2022)
By: VietHung Nguyen,  JunSheng Cheng and  VanTrong Thai  
Open Access
|May 2022

Authors

VietHung Nguyen

nguyenviethung@haui.edu.vn

Department of Mechanical Engineering, Hanoi University of Industry, Hanoi, Viet Nam

JunSheng Cheng

College of Mechanical and Vehicle Engineering, Hunan University, China

VanTrong Thai

Department of Mechanical Engineering, Hanoi University of Industry, Hanoi, Viet Nam
DOI: https://doi.org/10.2478/msr-2022-0022 | Journal eISSN: 1335-8871
Journal RSS Feed
Language: English
Page range: 177 - 186
Submitted on: Oct 10, 2021
|
Accepted on: Mar 28, 2022
|
Published on: May 14, 2022
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Multi-level fault,
SAE transfer learning,
vibration feature,
deep learning,
LSSVM-PSO classifier model
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2022 VietHung Nguyen, JunSheng Cheng, VanTrong Thai, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Previous articleVolume 22 (2022): Issue 4 (August 2022)Next article