STUDY OF DOMAIN ADAPTIVE NETWORK AND BALANCED DYNAMIC DISTRIBUTION ADAPTIVE FAULT MIGRATION DIAGNOSIS OF BEARING UNDER VARIABLE CONDITIONS (MT)
The complex and changeable working conditions of mechanical equipment in industrial field lead to uneven distribution of fault samples, which brings great trouble to traditional machine learning. In order to solve this problem, proposes a bearing fault transfer diagnosis method based on domain adapt...
Saved in:
Main Authors: | WANG TingXuan, WANG GuiYong, LIU Tao, WANG ZhenYa |
---|---|
Format: | Article |
Language: | zho |
Published: |
Editorial Office of Journal of Mechanical Strength
2023-01-01
|
Series: | Jixie qiangdu |
Subjects: | |
Online Access: | http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2023.03.001 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Normalization-Guided and Gradient-Weighted Unsupervised Domain Adaptation Network for Transfer Diagnosis of Rolling Bearing Faults Under Class Imbalance
by: Hao Luo, et al.
Published: (2025-01-01) -
Research on unsupervised domain adaptive bearing fault diagnosis method
by: WU ShengKai, et al.
Published: (2024-06-01) -
Towards a Standard Benchmarking Framework for Domain Adaptation in Intelligent Fault Diagnosis
by: Mohammed M. Farag
Published: (2025-01-01) -
Structure preserved ordinal unsupervised domain adaptation
by: Qing Tian, et al.
Published: (2024-11-01) -
FAULT DIAGNOSIS NEW METHOD OF ROLLING BEARING BASED ON ADAPTIVE REDUNDANT LIFTING SCHEME PACKET
by: XIAO ShunGen, et al.
Published: (2015-01-01)