A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis-Reference-Cited by-同舟云学术

A two-stage importance-aware subgraph convolutional network based on multi-source sensors for cross-domain fault diagnosis

Published:2024-11 Issue: Volume:179 Page:106518
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Yu Yue,He Youqian,Karimi Hamid Reza,Gelman Len,Cetin Ahmet Enis

Publisher

Elsevier BV

Reference43 articles.

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3. Interaction-aware graph neural networks for fault diagnosis of complex industrial processes;Chen;IEEE Transactions on Neural Networks and Learning Systems,2021

4. Data augmentation and intelligent fault diagnosis of planetary gearbox using ILoFGAN under extremely limited samples;Chen;IEEE Transactions on Reliability,2022

5. Collaborative fault diagnosis of rotating machinery via dual adversarial guided unsupervised multi-domain adaptation network;Chen;Mechanical Systems and Signal Processing,2023

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