Dual-Stream Cross-Modal Feature Fusion Based on Multi-Scale Attention for Industrial Fault Diagnosis-Reference-Cited by-同舟云学术

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Dual-Stream Cross-Modal Feature Fusion Based on Multi-Scale Attention for Industrial Fault Diagnosis

Published:2024-07-10 Issue: Volume: Page:1506-1511
ISSN:
Container-title:2024 American Control Conference (ACC)
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Author:

Lian Penglong¹,Shang Penghui²,Zhang Jiyang¹,Su Zhiheng¹,Zou Jianxiao³,Fan Shicai³

Affiliation:

1. School of Automation Engineering, University of Electronic Science and Technology of China,Chengdu,Sichuan,China

2. Zhiyuan Research Institute,Hangzhou,Zhejiang,China

3. Shenzhen Institute for Advanced Study and School of Automation Engineering, University of Electronic Science and Technology of China (UESTC),China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10644130/10644150/10644756.pdf?arnumber=10644756

Reference20 articles.

1. A review of the application of deep learning in intelligent fault diagnosis of rotating machinery

2. Applications of machine learning to machine fault diagnosis: A review and roadmap

3. Multi-level features fusion network-based feature learning for machinery fault diagnosis

4. Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

5. 2MNet: Multi-sensor and multi-scale model toward accurate fault diagnosis of rolling bearing

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