Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis-Reference-Cited by-同舟云学术

Variational Attention-Based Interpretable Transformer Network for Rotary Machine Fault Diagnosis

Published:2022 Issue: Volume: Page:1-14
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Li Yasong¹,Zhou Zheng¹^ORCID,Sun Chuang¹^ORCID,Chen Xuefeng¹^ORCID,Yan Ruqiang¹^ORCID

Affiliation:

1. State Key Laboratory for Manufacturing Systems Engineering and the School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China

Funder

Natural Science Foundation of China

National Key Research and Development Program of China

Shaanxi Province 2020 Natural Science Basic Research Plan

National Key Science and Technology Infrastructure Opening Project Fund for Research and Evaluation Facilities for Service Safety of Major Engineering Materials

Aeronautical Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09887963.pdf?arnumber=9887963

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