Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Yijiang Wu"'
Autor:
Yang Zheng, Bingbing Cai, Conglin Ren, Haipeng Xu, Weibin Du, Yijiang Wu, Fu Lin, Helou Zhang, Renfu Quan
Publikováno v:
PeerJ, Vol 9, p e12125 (2021)
Background Ankylosing spondylitis (AS) is a progressive rheumatic disease and studies reveal that the immune system is critical for the pathogenesis of AS. In the present study, various bioinformatics analysis methods were comprehensively applied, de
Externí odkaz:
https://doaj.org/article/bd6885336c1d49e39d0741b518e7d165
Publikováno v:
Anti-Cancer Drugs; Jan2024, Vol. 35 Issue 1, p55-62, 8p
Publikováno v:
2021 2nd International Conference on Intelligent Design (ICID).
Autor:
Conglin Ren, Yijiang Wu, Fu Lin, Bingbing Cai, Helou Zhang, Weibin Du, Renfu Quan, Yang Zheng, Haipeng Xu
Publikováno v:
PeerJ
PeerJ, Vol 9, p e12125 (2021)
PeerJ, Vol 9, p e12125 (2021)
Background Ankylosing spondylitis (AS) is a progressive rheumatic disease and studies reveal that the immune system is critical for the pathogenesis of AS. In the present study, various bioinformatics analysis methods were comprehensively applied, de
Autor:
Martin D. Judd, Donald M. Hepburn, Fan Yang, Alistair Reid, Chengke Zhou, Lee Li, Ganjun Wang, Zhaohui Li, Wah Hoon Siew, Xiaosheng Peng, Ashfaque Ahmed Bhatti, Yijiang Wu
Publikováno v:
IEEE Transactions on Power Delivery. 34:1460-1469
It is a great challenge to differentiate partial discharge (PD) induced by different types of insulation defects in high-voltage cables. Some types of PD signals have very similar characteristics and are specifically difficult to differentiate, even
Random Forest Based Optimal Feature Selection for Partial Discharge Pattern Recognition in HV Cables
Autor:
Jinshu Li, Alistair Reid, Martin D. Judd, Donald M. Hepburn, Lee Li, Ashfaque Ahmed Bhatti, Yijiang Wu, Wan Hoon Siew, Xiaosheng Peng, Zhaohui Li, Chengke Zhou, Ganjun Wang
Publikováno v:
IEEE Transactions on Power Delivery. 34:1715-1724
Optimal selection of features of Partial Discharge (PD) signals recorded from defects in High Voltage (HV) cables will contribute not only to the improvement of PD pattern recognition accuracy and efficiency but also to PD parameter visualization in
Autor:
Yijiang Wu, Yaping Zhang, Jing Han, Lin Wang, Qiang Zhang, Yingzi Yang, Jin-Ping Ao, Xuejiao Tan, Weibing Li, Yuyu Bu
Publikováno v:
Chemical Engineering Journal. 368:710-718
In this paper, a ZnSe layer was formed by in-situ conversion on the surface of ZnO nanorod array, and then CdSe layer was transformed from the ZnSe layer by ion exchange method. Subsequently, a p-type poly 3,4-ethylenedioxythiophene (PEDOT) ultrathin
Autor:
Hongdong Lin, Ganjun Wang, Xiaosheng Peng, Wenze Li, Yijiang Wu, Jinshu Li, Ashfaque Ahmed Bhatti
Publikováno v:
2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).
Partial Discharge (PD) signal is an important parameter reflecting the insulation condition of High Voltage(HV) cables. Meanwhile, PD detection and monitoring is an effective way to ensure the safe and stable operation of the HV cables. Due to the li
Publikováno v:
2019 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC).
Partial discharge (PD) features analysis and effective PD features selection play an important role in interference signal rejection and PD identification of High Voltage (HV) cables. In the paper, combination PD features analysis of HV cables is pre