Jing Yan

Orcid: 0000-0002-8456-2056

Affiliations:
  • Xi'an Jiaotong University, Xi'an, China


According to our database1, Jing Yan authored at least 13 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

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


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