Three-Types-of-Graph-Relational Guided Domain Adaptation Approach for Fault Diagnosis of Nuclear Power Circulating Water Pump
Author:
Affiliation:
1. School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China
2. China Nuclear Power Engineering Company Ltd., Beijing, China
Funder
National Key Research and Development Program of China
Innovative Scientific Program of China National Nuclear Corporation
K. C. Wong Education Foundation
Fundamental Research Funds for the Central Universities
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10411967/10124042.pdf?arnumber=10124042
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1. Renewable energy: a response to climate change
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1. Analysis and Monitoring of the Fuse Conditions in Nuclear Power Multiphase Brushless Excitation System;IEEE Transactions on Industrial Informatics;2024-06
2. ASG-HOMGAT: a high-order multi-head graph attention network with adaptive small graph structure for rolling bearing fault diagnosis;Measurement Science and Technology;2024-03-20
3. Spatial-Temporal Graph Conditionalized Normalizing Flows for Nuclear Power Plant Multivariate Anomaly Detection;IEEE Transactions on Industrial Informatics;2024
4. An Unsupervised Domain Adaption Method for Fault Diagnosis via Multichannel Variational Hypergraph Autoencoder;IEEE Transactions on Instrumentation and Measurement;2024
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