Work

Bearing Fault Diagnosis Based on Multimodal Fusion GRU and Swin-Transformer

Year: 2025

Type: article

Abstract: Fault diagnosis of rolling bearings is crucial for ensuring the stable operation of mechanical equipment and production safety in industrial environments. However, due to the nonlinearity and non-stationarity of collected vib... | Find, read and cite all the research you need on Tech Science Press

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.068246

Authors: Yingyong Zou, Yu Zhang, Long Li, Tao Liu, Xingkui Zhang

Institution: Changchun University

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

OpenAlex ID: W4414816267

FWCI: 1.149

Cites:

Cited by: 3

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