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Cross-Condition Vibration-Based Fault Diagnosis of Rolling Bearings Using Dual-Branch Feature Fusion and MK-MMD Domain Alignment Cover

Cross-Condition Vibration-Based Fault Diagnosis of Rolling Bearings Using Dual-Branch Feature Fusion and MK-MMD Domain Alignment

Measurement Science Review
Volume 26 (2026): Issue 5 (October 2026)
By: ,  ,  ,   and    
Open Access
|Oct 2026
Authors

Authors

Yancong Han

School of Electronic Information Engineering, Liuzhou Polytechnic University, Liuzhou, China

Yin Luo

School of Electronic Information Engineering, Liuzhou Polytechnic University, Liuzhou, China

Qi Shi

School of Electronic Information Engineering, Liuzhou Polytechnic University, Liuzhou, China

Jun He

hj_saike@163.com

Liuzhou Saike Technology Development Co., Ltd., Liuzhou, China

Huihua Zhuo

Liuzhou Saike Technology Development Co., Ltd., Liuzhou, China
DOI: https://doi.org/10.2478/msr-2026-0031 | Journal eISSN: 1335-8871
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Language: English
Page range: 250 - 259
Submitted on: Apr 22, 2026
Accepted on: Sep 2, 2026
Published on: Oct 13, 2026
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
vibration signal,
rolling bearing,
cross-condition fault diagnosis,
dual-branch feature fusion,
MK-MMD,
domain adaptation
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2026 Yancong Han, Yin Luo, Qi Shi, Jun He, Huihua Zhuo, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 26 (2026): Issue 5 (October 2026)
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