Search Results - "Qi, Zhenkang"

GIS partial discharge pattern recognition via a novel capsule deep graph convolutional network by Wang, Yanxin, Yan, Jing, Ye, Xinyu, Qi, Zhenkang, Wang, Jianhua, Geng, Yingsan

“…Deep learning (DL) has attracted significant attention in partial discharge (PD) pattern recognition of gas‐insulated switchgear (GIS). However, the existing…”
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A novel adversarial transfer learning in deep convolutional neural network for intelligent diagnosis of gas‐insulated switchgear insulation defect by Wang, Yanxin, Yan, Jing, Jing, Qianzhen, Qi, Zhenkang, Wang, Jianhua, Geng, Yingsan

“…Recently, numerous data‐driven fault diagnosis methods have been developed, and the tasks involving the same distribution of training and test data have been…”
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Fast and reliable differential protection based on traveling waves for HVDC transmission line by Wang, Haozong, Qi, Zhenkang, Fu, Luchuan, Liu, Feng, Hu, Jianli, Dong, Xinzhou, Li, Wenzhong

“…High voltage direct current (HVDC) technology is the ideal solution for long distance bulk power transmission. However, different from AC systems, differential…”
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Eliminating the Dependence of GPS or Communication Latency Estimation in Traveling Wave Based Double-Terminal Fault Location by Wang, Haozong, Qi, Zhenkang, Chen, Binshu, Zhang, Kaixin, Li, Wenzhong, Dong, Qihuan, Dong, Xinzhou

“…Double-terminal traveling wave-based fault location is one of the most reliable and accurate technologies for power transmission line fault location. However,…”
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Simultaneous Partial Discharge Diagnosis and Localization in Gas-Insulated Switchgear via a Dual-Task Learning Network by Wang, Yanxin, Yan, Jing, Yang, Zhou, Xu, Zhuofan, Qi, Zhenkang, Wang, Jianhua, Geng, Yingsan

“…Diagnosis and location of partial discharge (PD) are the basis for ensuring the reliable operation of gas-insulated switchgear (GIS). Current PD diagnosis and…”
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A Novel Domain Adversarial Graph Convolutional Network for Insulation Defect Diagnosis in Gas-Insulated Substations by Wang, Yanxin, Yan, Jing, Yang, Zhou, Qi, Zhenkang, Wang, Jianhua, Geng, Yingsan

“…The data-driven models have achieved remarkable advancements in diagnosing gas-insulated substation (GIS) insulation defects on specific massive datasets…”
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A novel hybrid meta-learning for few-shot gas-insulated switchgear insulation defect diagnosis by Wang, Yanxin, Yan, Jing, Yang, Zhou, Qi, Zhenkang, Wang, Jianhua, Geng, Yingsan

“…Though deep learning-based diagnosis methods have been extensively researched in gas-insulated switchgear (GIS) insulation defects diagnosis. Training a…”
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A novel adversarial transfer learning in deep convolutional neural network for intelligent diagnosis of gas‐insulated switchgear insulation defect: A DATCNN for GIS insulation defect diagnosis by Wang, Yanxin, Yan, Jing, Jing, Qianzhen, Qi, Zhenkang, Wang, Jianhua, Geng, Yingsan

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Gas-Insulated Switchgear Insulation Defect Diagnosis via a Novel Domain Adaptive Graph Convolutional Network by Wang, Yanxin, Yan, Jing, Yang, Zhou, Qi, Zhenkang, Wang, Jianhua, Geng, Yingsan

“…Convolutional neural networks (CNNs) have promoted the development of insulation defect diagnosis for gas-insulated switchgear (GIS) because of their excellent…”
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Novel metric-based meta-learning model for few-shot diagnosis of partial discharge in a gas-insulated switchgear by Wang, Yanxin, Yan, Jing, Yang, Zhou, Qi, Zhenkang, Wang, Jianhua, Geng, Yingsan

“…Data-driven diagnosis methods have been systematically investigated for the diagnosis of gas-insulated switchgear (GIS) partial discharge (PD). However,…”
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Data Compression for Differential Protection of Distribution Network: A Wavelet Approach by Qi, Zhenkang, Sun, Anning, Dong, Xinzhou

“…With the ever-increasing integration of high proportions of renewable energy sources, the distribution network is gradually becoming a multi-source grid…”
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