Work

Semi-supervised feature contrast incremental learning framework for bearing fault diagnosis with limited labeled samples

Year: 2025

Type: article

Source: Applied Soft Computing

DOI: 10.1016/j.asoc.2025.113172

Authors: Xuyang Tao, Changqing Shen, Lin Li, Dong Wang, Juanjuan Shi, Zhongkui Zhu

Institutions: Soochow University, Beijing Institute of Control Engineering, Shanghai Jiao Tong University, State Key Laboratory of Mechanical System and Vibration

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funder: National Natural Science Foundation of China

Awards: G5065864682, G5163084661, G5659670432

OpenAlex ID: W4409534729

FWCI: 10.01

Cites: 37

Cited by: 26

Related to: 10