Jing Yan
Orcid: 0000-0002-8456-2056Affiliations:
- Xi'an Jiaotong University, Xi'an, China
According to our database1,
Jing Yan
authored at least 14 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Mutitask Learning Network for Partial Discharge Condition Assessment in Gas-Insulated Switchgear.
IEEE Trans. Ind. Informatics, October, 2024
2023
A novel hybrid <i>meta</i>-learning for few-shot gas-insulated switchgear insulation defect diagnosis.
Expert Syst. Appl., December, 2023
Few-Shot Mechanical Fault Diagnosis for a High-Voltage Circuit Breaker via a Transformer-Convolutional Neural Network and Metric Meta-Learning.
IEEE Trans. Instrum. Meas., 2023
Generative Zero-Shot Learning for Partial Discharge Diagnosis in Gas-Insulated Switchgear.
IEEE Trans. Instrum. Meas., 2023
Collaborative Domain Adaptation Network for Partial Discharge Source Localization in Gas-Insulated Switchgear.
IEEE Trans. Instrum. Meas., 2023
Subdomain Adaptation Capsule Network for Partial Discharge Diagnosis in Gas-Insulated Switchgear.
Entropy, 2023
2022
Gas-Insulated Switchgear Insulation Defect Diagnosis via a Novel Domain Adaptive Graph Convolutional Network.
IEEE Trans. Instrum. Meas., 2022
A Novel Federated Transfer Learning Framework for Intelligent Diagnosis of Insulation Defects in Gas-Insulated Switchgear.
IEEE Trans. Instrum. Meas., 2022
A Novel Method for Pattern Recognition of GIS Partial Discharge via Multi-Information Ensemble Learning.
Entropy, 2022
2021
Porcelain Insulator Crack Location and Surface States Pattern Recognition Based on Hyperspectral Technology.
Entropy, 2021
GIS Partial Discharge Pattern Recognition Based on a Novel Convolutional Neural Networks and Long Short-Term Memory.
Entropy, 2021
2020
Bearing Intelligent Fault Diagnosis in the Industrial Internet of Things Context: A Lightweight Convolutional Neural Network.
IEEE Access, 2020
2019
A MobileNets Convolutional Neural Network for GIS Partial Discharge Pattern Recognition in the Ubiquitous Power Internet of Things Context: Optimization, Comparison, and Application.
IEEE Access, 2019
2018
Research on the Factors Influencing the Measurement Errors of the Discrete Rogowski Coil.
Sensors, 2018