L
Lin Jiang
Researcher at University of Liverpool
Publications - 465
Citations - 14528
Lin Jiang is an academic researcher from University of Liverpool. The author has contributed to research in topics: Electric power system & Computer science. The author has an hindex of 50, co-authored 389 publications receiving 10061 citations. Previous affiliations of Lin Jiang include University of Sheffield & Xiamen University.
Papers
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Proceedings ArticleDOI
A Light Optical Current Transducer Based on Magneto Optical Isolator
TL;DR: The modification method is introduced at first, then the parameters measurement and calculation method are discussed, and the feasibility of the proposed scheme is tested.
Journal ArticleDOI
Characterization Method of Tight Sandstone Reservoir Heterogeneity and Tight Gas Accumulation Mechanism, Jurassic Formation, Sichuan Basin, China
TL;DR: Wang et al. as discussed by the authors developed a 3D gas accumulation facility that can reflect the high temperature and pressure under the geological condition to simulate the gas accumulation process in the tight formation of the Jurassic Formation, Sichuan Basin.
Journal ArticleDOI
Study on zero-mode inrush current characteristics and its influence on protection under sympathetic interaction
TL;DR: In this paper , a zero-mode equivalent circuit that can reflect the transformer winding arrangement structure and sympathetic interaction is proposed for mechanism analysis and further simulation analysis also reveals sympathetic interaction may lead to the long-delay zero-sequence backup protection malfunction of the upstream line of the operating transformer.
Journal ArticleDOI
Modeling of a multi-parameter chaotic optoelectronic oscillator based on the Fourier neural operator.
Jiacheng Feng,Lin Jiang,Lianshan Yan,Anlin Yi,Songsui Li,Wei Pan,Bin Luo,Yan Pan Wei Pan,Bin Kun Xu,Lilin Yi,Long Sheng Wang,Anbang Wang,Yuncai Wang +12 more
TL;DR: In this article , a model construction scheme of chaotic optoelectronic oscillator (OEO) based on the Fourier neural operator (FNO) is proposed, which learns the nonlinear dynamics of OEO (actual components) in a data-driven way, expecting to obtain a multi-parameter OEO model for generating chaotic carrier with high efficiency and low cost.
Journal ArticleDOI
A 3‐hydroxy‐3‐methylglutaryl‐CoA synthase‐based probe for the discovery of the acyltransferase‐less type I polyketide synthases
Haoyu Liang,Lin Jiang,Qiyun Jiang,Jie Shi,Jingxi Xiang,Xiaohui Yan,Xiangcheng Zhu,Li-Xing Zhao,Ben Shen,Yanwen Duan,Yong Huang +10 more
TL;DR: A large group of HCSs are discovered, closely associated with the characterized and orphan AT-less type I PKSs through in silico genome mining, sequence and genome neighborhood network analyses, and their co-evolutionary relationship is suggested.