Multi-Condition Intelligent Fault Diagnosis Based on Tree-Structured Labels and Hierarchical Multi-Granularity Diagnostic Network

The aim of this study is to improve the cross-condition domain adaptability of bearing fault diagnosis models and their diagnostic performance under previously unknown conditions. Thus, this paper proposes a multi-condition adaptive bearing fault diagnosis method based on multi-granularity data anno...

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Bibliographic Details
Main Authors: Hehua Yan, Jinbiao Tan, Yixiong Luo, Shiyong Wang, Jiafu Wan
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/12/12/891
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