A rolling bearing fault diagnosis method based on deep subspace learning and data augmentation

ZHANG Shuaishuai; ZHANG Chao; WANG Xiaofeng

doi:10.16136/j.joel.2025.01.0377

Journal of Optoelectronics · Laser, Volume. 36, Issue 1, 69(2025)

A rolling bearing fault diagnosis method based on deep subspace learning and data augmentation

ZHANG Shuaishuai¹, ZHANG Chao², and WANG Xiaofeng^1,3、*

¹Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control, School of Mechanical Engineering, Tianjin University of Technology, Tianjin 300384, China

²BingooRobot (Tianjin) Co. , Ltd, Tianjin 300401, China

³National Demonstration Center for Experimental Mechanical and Electrical Engineering Education, Tianjin University of Technology, Tianjin 300384, China

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ZHANG Shuaishuai, ZHANG Chao, WANG Xiaofeng. A rolling bearing fault diagnosis method based on deep subspace learning and data augmentation[J]. Journal of Optoelectronics · Laser, 2025, 36(1): 69

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Paper Information

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Received: Jul. 15, 2023

Accepted: Jan. 23, 2025

Published Online: Jan. 23, 2025

The Author Email: WANG Xiaofeng (jasonshuai0212@163.com)

DOI:10.16136/j.joel.2025.01.0377

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology