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Metal Particle Behavior Between Dielectric-Coated Electrodes Under DC Voltage
Yuhao Gao;Lei Zhang;Zhousheng Zhang;Weijian Zhuang;Yilin Liu;Bo Liu;Changhong Zhang;Tengfei Li;Xiaocun Wang;Yong Yi;Tiejun Ma;Giovanni Mazzanti;Jinliang He;Chuanyang Li
Suppressing the activity of metal particles is a key issue in the development of dc gas-insulated power transmission lines (GILs). This study investigates the effects of five different dielectric coatings of the electrodes—namely surface oxidation treatment and four different coating materials (i.e., 1032K high-resistance paint (1032K), teflon, epoxy marlin orange primer (EM primer), and iron red ...Show More
Self-organized Criticality Identification of Power Systems Based on Neural Networks
Weidong Zhong;Jicai Liu;Qianyuan Zhong;Ping Hu;Chengping Hu;Yilin Liu
2023 IEEE 4th China International Youth Conference On Electrical Engineering (CIYCEE)
Year: 2023 | Conference Paper |
To mitigate the limitations associated with the arduous and time-consuming identification of conventional self-organized criticality, this paper presents a novel t-SNE-BP-based framework for discerning self-organized criticality within power systems. Firstly, the OPA model is employed to simulate cascading failures and acquire the resultant loss in system load, which subsequently serves as the obs...Show More
Transient stability assessment of power systems with graph neural networks considering global features
Shengyuan Yang;Mengxiang Ding;Zijianga Wtuan;Heaichuang Yang;Yilin Liu;Wenli Fan
2023 IEEE 4th China International Youth Conference On Electrical Engineering (CIYCEE)
Year: 2023 | Conference Paper |
Currently, the transient stability assessment of power systems using graph neural networks often overlooks the multidimensional characteristics of transmission lines and exhibits limited utilization of overarching features. To address this issue, this paper introduces a novel framework for graph neural networks, termed Global Features-Exploiting Edge Features for Graph Convolutional Networks (G-EG...Show More
Forward-Secure Customizable Data Sharing in Blockchain-based EHR Systems
Yanzi Yi;Xiaowen Feng;Xin Tian;Zan Peng;Yilin Liu;Hua Deng;Yujue Wang
2023 20th Annual International Conference on Privacy, Security and Trust (PST)
Year: 2023 | Conference Paper |
Blockchain-based electronic healthcare record (EHR) systems function a trusted decentralized network for patients to store and share healthcare records. Owing to the transparency feature, blockchain can guarantee the integrity and consistency but not the privacy of healthcare records; hence encryption techniques are usually introduced to secure personal healthcare records. However, most encryption...Show More
Research on Real-Time Speech Transcription Optimization Based on Recurrent Neural Network Transducer
2023 IEEE International Conference on Image Processing and Computer Applications (ICIPCA)
Year: 2023 | Conference Paper |
Real-time speech transcription has problems such as low recognition accuracy, poor generalization, and poor audio and video fusion in complex environments. We propose a real-time speech transcription optimization method based on the Recurrent neural network Transducer model to solve these problems. First, according to the principle and advantages of the Recurrent neural network Transducer model, t...Show More
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