MQKIN: Manufacturing Quality Knowledge-Driven Interpretable Fault Diagnosis Network for Robotic Grinding Equipment-Reference-Cited by-同舟云学术

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MQKIN: Manufacturing Quality Knowledge-Driven Interpretable Fault Diagnosis Network for Robotic Grinding Equipment

Published:2024 Issue: Volume: Page:1-12
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

He Wenbin¹^ORCID,Mao Jianxu¹^ORCID,Wang Yaonan¹^ORCID,Li Zhe¹^ORCID,Wang Xudong²,Wang Shaoyuan³^ORCID

Affiliation:

1. College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, China

2. School of Robotics and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, China

3. College of Electrical and Information Engineering, Hunan University, Changsha, China

Funder

National Natural Science Foundation of China

Special funding support for the Construction of Innovative Provinces in Hunan Province

Central Guidance Fund Project for Hunan Science and Technology Development

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/8856/4358066/10574219.pdf?arnumber=10574219

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