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Your search keyword '"Lei, Jiaxing"' showing total 156 results
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156 results on '"Lei, Jiaxing"'

1. An Improved Low Voltage Ride Through Strategy for Wind Turbines Connected to the Weak Grid

Author

Liu, Chuanhao, Lei, Jiaxing, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Dong, Xuzhu, editor, Yang, Qingxin, editor, and Ma, Weiming, editor

Published
2023
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2. A Dual Inverter Topology Based on Quasi-Isolated Power Supply and Its Control Strategy

Author

Liu, Chuanhao, Lei, Jiaxing, Xiao, Yiyang, Feng, Xinzhen, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Hu, Cungang, editor, and Cao, Wenping, editor

Published
2023
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3. Control strategy of the modular multilevel matrix converter under unbalanced grid condition

Author

LU Yu, WU Xiaodan, LEI Jiaxing, SUN Xiangxiang, GU Yuehua, and WEI Chaofan

Subjects
modular multilevel matrix converter (m3c), low-frequency transmission system, unbalanced grid condition, capacitance voltage balance, negative sequence control, circulating currents control, Applications of electric power, TK4001-4102
Abstract

Modular multilevel matrix converter (M3C) is a new topology of AC-AC power converter, which has very broad application in low frequency transmission system, high-power asynchronous motor speed regulation and low offshore wind power transmission. Due to the power coupling effect of the two frequencies, the capacitive voltage of M3C bridge arms is prone to instability when the grid voltage is asymmetric. Firstly, the arm power of M3C under unbalanced input conditions is calculated, and the power distribution law among the arms of two different power balance method is summarized. On this basis, the influence of low-frequency circulating currents on the arm power is analyzed. Under the premise of ensuring the balance of input and output power of the system, a capacitor voltage balance control strategy based on the construction of circulating currents is proposed, which avoids the introduction of negative sequence current on the grid side. Under unbalanced conditions, the capacitor voltage can be quickly balanced by the capacitor voltage closed-loop control and direct power compensation strategy. The constructed low-frequency circulating currents only flow inside the converter, and will not affect the decoupling operation of M3C input and output sides. The effectiveness of the proposed control strategy is verified by a 220 kV, 400 MW M3C system implemented in MATLAB.

Published
2023
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13. Mesoporous Hollow Manganese Doped Ceria Nanoparticle for Effectively Prevention of Hepatic Ischemia Reperfusion Injury

Author

Si,Peiru, Lei,Jiaxing, Yang,Chen, Zhang,Peipei, Li,Xiaojiao, Zheng,Shaohua, Li,Qingqing, and Zhang,Jiye

Subjects
Biomaterials, International Journal of Nanomedicine, Organic Chemistry, Drug Discovery, Biophysics, Pharmaceutical Science, Bioengineering, General Medicine
Abstract

Peiru Si,1 Jiaxing Lei,1 Chen Yang,1 Peipei Zhang,1 Xiaojiao Li,2 Shaohua Zheng,3 Qingqing Li,1 Jiye Zhang1 1School of Pharmacy, Health Science Center, Xi’an Jiaotong University, Xi’an, People’s Republic of China; 2Biobank, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of China; 3Department of Anesthesiology, the First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, People’s Republic of ChinaCorrespondence: Qingqing Li; Jiye Zhang, School of Pharmacy, Health Science Center, Xi’an Jiaotong University, No. 76 Yanta Westroad, Xi’an, People’s Republic of China, Email liqingqing0217@xjtu.edu.cn; zjy2011@xjtu.edu.cnIntroduction: Hepatic ischemia-reperfusion injury (HIRI) is the main reason for liver dysfunction or failure after liver resection and liver transplantation. As excess accumulation of reactive oxygen species (ROS) is the leading factor, ceria nanoparticle, a cyclic reversible antioxidant, is an excellent candidate for HIRI.Methods: Manganese doped mesoporous hollow ceria nanoparticles (MnOx-CeO2 NPs) were prepared, and the physicochemical characteristics, such as particle size, morphology, microstructure, etc. were elucidated. The in vivo safety and liver targeting effect were examined after i.v. injection. The anti-HIRI was determined by a mouse HIRI model.Results: MnOx-CeO2 NPs with 0.40% Mn doped exhibited the strongest ROS-scavenging capability, which may due to the increased specific surface area and surface oxygen concentration. The nanoparticles accumulated in the liver after i.v. injection and exhibited good biocompatibility. In the HIRI mice model, MnOx-CeO2 NPs significantly reduced the serum ALT and AST level, decreased the MDA level and increased the SOD level in the liver, prevent pathological damages in the liver.Conclusion: MnOx-CeO2 NPs were successfully prepared and it could significantly inhibit the HIRI after i.v. injection.Graphical Abstract: Keywords: hepatic ischemia reperfusion injury, Mn-doped mesoporous hollow cerium oxide nanoparticles, oxidative stress

Published
2023

34. Research on Detection Algorithm of Foreign Object Debris and Small Targets in Airport Runway Based on SSD

Author

Lei Jiaxing, Hong Ruifeng, Gao Qiang, and Chen Yutong

Subjects
Data set, Feature fusion, Foreign object damage, Computer science, Runway, Construct (python library), Small target, Algorithm, Object detection
Abstract

The SSD algorithm is currently a widely used target detection algorithm. In view of the small size of common foreign objects on airport runways and the low accuracy of SSD processing small target objects, this paper applies feature fusion method in SSD model to construct a new small target object detection algorithm model. The accuracy of the model is detected on the self-built airport runway foreign body data set, and the detection result mAP is 5% higher than the original SSD network.

Published
2021

35. Research on Foreign Object Debris Detection in Airport Runway Based on Semantic Segmentation

Author

Hong Ruifeng, Chen Yutong, Lei Jiaxing, and Gao Qiang

Subjects
Foreign object detection, Foreign object damage, Pixel, business.industry, Computer science, Deep learning, Segmentation, Runway, Computer vision, Artificial intelligence, business, Field (computer science)
Abstract

Semantic segmentation based on deep learning has very broad application scenarios in the field of computer vision. DeepLab v3+ is currently a widely used semantic segmentation framework. This paper uses the DeepLab v3+ model in TensorFlow to semantically segment foreign objects on the airport runway. Experimental results show that the semantic segmentation model based on DeepLab v3+ can accurately classify foreign objects at the pixel level, which effectively improves the accuracy of foreign object detection and reduces the risk of accidental aircraft take-off and landing.

Published
2021

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