Multi-Node Feature Learning Network Based on Maximum Spectral Harmonics-to-Noise Ratio Deconvolution for Machine Condition Monitoring-Reference-Cited by-同舟云学术

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Multi-Node Feature Learning Network Based on Maximum Spectral Harmonics-to-Noise Ratio Deconvolution for Machine Condition Monitoring

Published:2023 Issue: Volume: Page:1-13
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Zhou Qiuyang¹^ORCID,Yi Cai¹^ORCID,Yan Lei²,Huang Chenguang³,Song Xinwu⁴,Xu Du⁵,Zhou Lu⁶^ORCID,Lin Jianhui¹^ORCID

Affiliation:

1. State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu, China

2. CRRC Qingdao Sifang Company Ltd, Qingdao, China

3. Weichai Power Company Ltd, Weifang, China

4. China Academy of Railway Sciences (CARS) Company Ltd, Beijing, China

5. August First Film Studio, Beijing, China

6. School of Civil Engineering, Sun Yat-sen University, Guangzhou, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Sichuan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/4358066/10147297.pdf?arnumber=10147297

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