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Study on Amplitude Characteristics of Electromagnetic and Vibration Parameters for "Plug-in" Type High-Voltage Conductor Connection Structures in GIS 1

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18th Annual Conference of China Electrotechnical Society, ACCES 2023

作者： Hao, Jian Zhong, Yao Li, Xu Li, Ying Liu, Qingsong Shao, Ziqi State Key Laboratory of Power Transmission Equipment and System Security and New Technology Chongqing University Chongqing400044 China Power Science Research Institute of Guizhou Power Grid Co. Ltd. Guiyang550002 China

ISBN: (数字)9789819710683

ISBN: (纸本)9789819710676

The "plug" type high-voltage conductor connection structures is extremely prone to parts loosening under frequent action, its connection reliability will be drastically reduced under continuous mechanical vibration, posing a great threat to the equipment safety. To study the overall vibration characteristics of the "plug-in" type conductor connection structures in gas insulated switchgear (GIS), this paper firstly proposed a finite element calculation procedure with "electromagnetic-mechanical" coupling by combining physical ontological relationship and elastic dynamics equations, and then established a finite element calculation model by taking 126 kV "plug-in" type disconnector chamber as the study object. Finally, the electromagnetic and vibration parameter amplitudes and their distribution characteristics of the "plug-in" type connecting structures were investigated and analyzed. Results show that the distribution of electromagnetic and vibration parameters is strongly correlated with the geometric structure, and the amplitude is the largest at the confluence of the internal conductor structure. The acceleration signal is more sensitive to the detection of vibration information compared with the displacement vibration signal. The distribution of the vibration amplitude is related to the size of the structural constraint stiffness and vibration attenuation characteristics. The results provide effective references for GIS vibration detection and maintenance. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Finite element method

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CFD simulation of thermal hydraulic characteristics in a typical upper plenum of RPV

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Frontiers in Energy 2021年第4期15卷 930-945页

作者： Mingjun WANG Lianfa WANG Yingjie WANG Wenxi TIAN Jian DENG Guanghui SU Suizheng QI State Key Laboratory of Multiphase Flow in Power Engineering Department of Nuclear Science and TechnologyXi’an Jiaotong UniversityXi’an 710049China Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of ChinaChengdu 610213China

A comparative computational fluid dynamics(CFD)study was conducted on the three different types of pressurized water reactor(PWR)upper plenum,named TYPE 1(support columns(SCs)and control rod guide tubes(CRGTs)with two large windows),TYPE 2(SCs and CRGTs without windows),and TYPE 3(two parallel perforated barrel shells and CRGTs).First,three types of upper plenum geometry information were collected,simplified,and adopted into the BORA facility,which is a 1/5 scale system of the four-loop PWR ***,the geometry,including the upper half core,upper plenum region,and hot legs,was built using the Salome *** that,an unsteady calculation to simulate the reactor balance operation at hot full power scenario was ***,the differences of flowrate distribution at the core outlet and temperature distribution and transverse velocity inside the hot legs with different upper plenum internals were *** results suggest that TYPE 1 upper plenum internals cause the largest flowrate difference at the core outlet while TYPE 3 leads to the most even distributed *** distribution and evolution pattern of the tangential velocity inside hot legs is highly dependent on the upper plenum *** counter-rotating swirls exist inside the TYPE 1 hot leg and only one swirl revolving around the hog leg axis exist inside the TYPE 2 hot *** TYPE 3,two swirls like that of TYPE 1 rotating around the hot leg axis significantly increase the temperature homogenization *** research provides meaningful guidelines for the future optimization and design of advanced PWR upper plenum internal structures.

关键词： pressurized water reactor(PWR) upper plenum internal structures temperature distribution computational fluid dynamics(CFD)

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Detecting Lanes of a Waterway Using MonoLayout Networks and a U3D Training Platform

Detecting Lanes of a Waterway Using MonoLayout Networks and ...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Yuan, Wenjie Ma, Feng Guo, Hua Li, Yan Intelligent Transportation System Center Wuhan University of Technology Wuhan China State Key Laboratory of Maritime Technology and Safety Wuhan University of Technology Wuhan China CHN ENERGY Shipping Co. Ltd. Beijing China Henan Transport Investment Group Co. Ltd. Zhengzhou China

ISBN: (纸本)9789819639564

In order to ensure that ships in inland waterways can realize safe and efficient autonomous navigation, this paper proposes a method for real-time waterway detection using MonoLayout algorithm, which predicts the Bird’s Eye View (BEV) in front of the ship using the First Person View (FPV) image as input. In order to improve the accuracy and generalization of the model, two datasets are produced for training, namely, the dataset containing only the real scene (RealBEV) and the dataset with 7:1 mixing of the Unity3D simulated scene and the real scene (MixBEV). To validate the data and recognition effects of comparing the two datasets, multiple experiments are conducted. The experiments show that the model trained with MixBEV has an average intersection and merger ratio (mIoU) of 88.02%, an average pixel accuracy (mAP) of 89.49%, and a single-image prediction time of 24.06 ms for channel detection. mIoU and mAP are improved by 5.58% and 3.19%, respectively, compared to the single RealBEV data, and for different ships in the same scene, The generalizability is well improved. It also shows that MixBEV can better balance the accuracy of recognition and real-time recognition when detecting inland waterways. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Bank protection

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A pretrained transformer model for decoding individual glucose dynamics from continuous glucose monitoring data

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National Science Review 2025年第5期12卷 362-381页

作者： Yurun Lu Dan Liu Zhongming Liang Rui Liu Pei Chen Yitong Liu Jiachen Li Zhanying Feng Lei M.Li Bin Sheng Weiping Jia Luonan Chen Huating Li Yong Wang Center for Excellence in Mathematical Sciences National Center for Mathematics and Interdisciplinary Sciences Hua Loo-Keng Center for Mathematical Sciences Key Laboratory of Management Decision and Information System Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematics University of Chinese Academy of SciencesChinese Academy of Sciences Department of Endocrinology and Metabolism Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghai Diabetes InstituteShanghai Clinical Center for Diabetes Shanghai Key Laboratory of Diabetes Mellitus Key Laboratory of Systems Health Science of Zhejiang Province School of Life ScienceHangzhou Institute for Advanced StudyUniversity of Chinese Academy of Sciences BGI-Research School of Mathematics South China University of Technology Department of Statistics Department of Biomedical Data Science Bio-X ProgramStanford University Department of Computer Science and Engineering Shanghai Jiao Tong University State Key Laboratory of Cell Biology Center for Excellence in Molecular Cell Science Shanghai Institute of Biochemistry and Cell Biology Chinese Academy of Sciences Guangdong Institute of Intelligence Science and Technology Pazhou Laboratory (Huangpu)

Continuous glucose monitoring(CGM) technology has grown rapidly to track real-time blood glucose levels and trends with improved sensor accuracy. The ease of use and wide availability of CGM will facilitate safe and effective decision making for diabetes management. Here, we developed an attention-based deep learning model, CGMformer, pretrained on a well-controlled and diverse corpus of CGM data to represent individual's intrinsic metabolic state and enable clinical applications. During pretraining, CGMformer encodes glucose dynamics including glucose level, fluctuation, hyperglycemia, and hypoglycemia into latent space with self-supervised learning. It shows generalizability in imputing glucose value across five external datasets with different populations and metabolic states(MAE = 3.7 mg/d L). We then fine-tuned CGMformer towards a diverse panel of downstream tasks in the screening of diabetes and its complications using task-specific data, which demonstrated a consistently boosted predictive accuracy over direct fine-tuning on a single task(AUROC = 0.914 for type 2 diabetes(T2D) screening and 0.741 for complication screening). By learning an intrinsic representation of an individual's glucose dynamics,CGMformer classifies non-diabetic individuals into six clusters with elevated T2D risks, and identifies a specific cluster with lean body-shape but high risk of glucose metabolism disorders, which is overlooked by traditional glucose measurements. Furthermore, CGMformer achieves high accuracy in predicting an individual's postprandial glucose response with dietary modelling(Pearson correlation coefficient = 0.763)and helps personalized dietary recommendations. Overall, CGMformer pretrains a transformer neural network architecture to learn an intrinsic representation by borrowing information from a large amount of daily glucose profiles, and demonstrates predictive capabilities fine-tuned towards a broad range of downstream applications, holding promise for the ear

关键词： pretrained model diabetes continuous glucose monitoring glucose dynamics

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A Fuzzy Clustering Algorithm Based on Multipath Component Trajectory for Millimeter Wave Radio Channels

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China Communications 2022年第11期19卷 99-111页

作者： Fei Du Yu Zhang Qingliang Li Xinyue Zhang Bo Zhu Zihao Fu Suiyan Geng Xiongwen Zhao State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources School of Electrical and Electronic EngineeringNorth China Electric Power UniversityBeijing 102206China Hebei Key Laboratory of Power Internet of Things Technology North China Electric Power UniversityBaoding 071003HebeiChina National Key Laboratory of Electromagnetic Environment China Research Institute of Radiowave PropagationQingdao 266107China

Time-varying channel modeling plays an important role for many applications in time-variant scenarios,while most clustering algorithms focus on static channels and cannot accurately model the channel time-evolution *** this paper,a fuzzy clustering algorithm based on multipath component(MPC)trajectory is ***,both the distance and velocity similarities of the MPCs in different snapshots are taken into account to track the MPC trajectory,in which the fuzzy scheme and a kernel function are used to calculate the distance and velocity similarities,***,a fuzzy MPC trajectory clustering algorithm is proposed to cluster the MPCs in multiple *** MPCs in a snapshot are clustered according to the membership,which is defined as the probability that a MPC belongs to different ***,time-varying channels at 28 GHz are simulated to validate the performance of our proposed *** results show that our proposed algorithm is able to accurately identify the clusters in time-varying channels compared with the existing clustering algorithms.

关键词： channel modeling time-varying clustering multiple path component MPC trajectory 6G

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Low Latency Fiber Communication system Equalizer Based on Photonic Reservoir Computing

Low Latency Fiber Communication System Equalizer Based on Ph...

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2023 Asia Communications and Photonics Conference/2023 International Photonics and Optoelectronics Meetings, ACP/POEM 2023

作者： Zuo, Xiaoyan Pei, Li Bai, Bing Bai, Bowen Wang, Jianshuai Sui, Juan Institute of Lightwave Technology Beijing Jiaotong University Key Laboratory of All-Optical Networks and Modern Communication Networks of Ministry of Education Beijing China School of Electronics Peking University State Key Laboratory of Advanced Optical Communications System and Networks Beijing China Technology Co. Ltd Beijing China

ISBN: (纸本)9798350312614

We demonstrate a low latency fiber channel distortion equalizer that implements mainly of the equalization calculations in the optical domain, based on an integrated photonic reservoir computing chip. We discussed the equalization effect of the equalizer under different dispersion noise and optical signal-to-noise ratio (OSNR) conditions. The bit error rate (BER) of the C-band with 25Gb/s on-off key (OOK) distorted signal in 25km standard single-mode fiber (SSMF) has been reduced by 3 orders of magnitude. By optimizing weights, this equalizer can adapt to link impairments. It can effectively equalize the distorted signals at data rates of 10-40 Gb/s over 25km in SSMF transmission. Furthermore, it can efficiently equalize the impaired signals after 5-40km SSMF transmission at a signal rate of 25Gb/s. © 2023 IEEE.

关键词： equalizer low latency photonic reservoir computing silicon photonics

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Design and Wave Propagation Characterization of Starchiral Metamaterials

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Acta Mechanica Solida Sinica 2022年第2期35卷 215-227页

作者： Yajun Xin Han Wang Cong Wang Jinxin Yao Qian Ding Haoqiang Gao Shuliang Cheng Yongtao Sun Key Laboratory of Green Construction and Intelligent Maintenance for Civil Engineering of Hebei Province Yanshan UniversityQinhuangdao 060000China Hebei Province Low-Carbon and Clean Building Heating Technology Innovation Center Yanshan UniversityQinhuangdao 060000China Department of Mechanics and Tianjin Key Laboratory of Nonlinear Dynamics and Control Tianjin UniversityTianjin 300072China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao UniversityShijiazhuang 050043China

Metamaterials with simple artificial topological properties made from industrially produced single-phase materials have extraordinary innovation and *** this paper,we investigated wave propagation characteristics of a hexastarchiral lattice metamaterial with periodic assemblies and used the finite element(FE)method to study the band gap ***,in order to understand the mechanism of band gaps,we discussed the mode shapes of unit cells and found that the bending of the ligament and the overall rotation have a high correlation with the generation of omnidirectional band *** relationships bet ween geometric parameters and band gap properties have also been systematically studied,which demonstrated that the band gaps of the proposed metamaterial could be reasonably predicted through the evolution of geometric ***,the transmission characteristics of finite sandwich panel structures composed of periodic unit cells were calculated to verify the correctness of the band gap simulation results,which proved that the proposed artificial metastructure has potential application value in vibration and noise reduction projects.

关键词： Hexastarchiral lattice metamaterials Band gap properties Finite element method Rotational resonance

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An Optimized-Punching Approach to Achieve Parabolic Shape by Simply Bending Flat Elastic Sheet—Fabricating Flexible and Precision Solar Parabolic Trough Concentrator

SSRN

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SSRN 2023年

作者： Li, Lifang Chen, He Zhang, Yanlong Li, Heng Wang, Juncai Guo, Pengzhen Liu, Rongqiang Laboratory for Space Environment and Physical Sciences Harbin Institute of Technology Harbin150001 China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin150001 China National Key Laboratory of Science and Technology on Tunable Laser Harbin150001 China

Fabricating solar parabolic trough concentrators by bending flat elastic sheets into precise parabolic shapes is a simple and cost-effective approach. In this paper, we propose an optimized-punching approach that leverages elastic buckling to manufacture high-precision solar parabolic trough concentrators. Our approach involves punching optimized holes in the flat sheet to finely tailor its stiffness using an improved Particle Swarm Optimization-Genetic Algorithm. This allows us to produce a perfect parabolic shape by controlling the chord length with a position rod or cable. To validate our approach, we used interactive Finite Element Analysis and ray tracing software-LightTools, as well as sunlight concentrating experiments, and achieved a concentration ratio of up to 145.16. This concept enables easy fabrication and shipping of flat mirror elements to field sites, which can be assembled into parabolic trough concentrators, offering potentially attractive cost reductions and highly efficient solar energy solutions © 2023, The Authors. All rights reserved.

关键词： Cost reduction

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Major challenges and recent advances in characterizing biomass thermochemical reactions

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Resources Chemicals and Materials 2024年第2期3卷 146-158页

作者： Zhennan Han Junrong Yue Xi Zeng Jian Yu Fang Wang Yu Guan Xuejing Liu Fu Ding Liangliang Fu Xin Jia Xingfei Song Chao Wang Yanbin Cui Lei Shi Kangjun Wang Vladimir Zivkovic Dingrong Bai Guangwen Xu Key Laboratory on Resources Chemicals and Material of Ministry of Education Shenyang University of Chemical TechnologyShenyang 110142China The State Key Laboratory of Multi-phase Complex System Institute of Process EngineeringChinese Academy of SciencesBeijing 100190China School of Ecology and Environment Beijing Technology and Business UniversityBeijing 100048China School of Engineering Newcastle UniversityNewcastle Upon Tyne NE17RUUnited Kingdom

Thermochemical conversions are pathways for biomass utilization to produce various value-added energy and chemical products. For the development of novel thermochemical conversion technologies, an accurate understanding of the reaction performance and kinetics is essential. Given the diversity of the thermal analysis techniques, it is necessary to understand the features and limitations of the reactors, ensuring that the selected thermal analysis reactor meets the specific need for reaction characterization. This paper provides a critical overview of the thermal analysis reactors based on the following perspectives: 1) gas flow conditions in the reactor, 2) particle’s external and internal heat and mass transfer limitations, 3) heating rate, 4) temperature distribution, 5) nascent char production and reaction, 6) liquid feeding and atomization, 7) simultaneous sampling and analyzing of bed materials, and 8) reacting atmosphere change. Finally, prospects and future research directions in the development of analysis techniques are proposed.

关键词： Biomass Thermal analysis Quick heating Thermochemical reaction Reaction kinetics

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An Approximate Method for Retired Battery Capacity Degradation Model Based on Limited Test Data of SOC Ranges 8

An Approximate Method for Retired Battery Capacity Degradati...

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8th Asia Conference on Power and Electrical Engineering, ACPEE 2023

作者： Chen, Xiaolin Chen, Gang Chen, Fuxin Zheng, Wenjin Xu, Wanwan Tang, Junjie Electromechanical Engineering Institute PowerChina Huadong Engineering Corporation Limited Hangzhou China Chongqing University State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing China

ISBN: (纸本)9798350345520

Facing the peak of electric vehicle power battery decommissioning, the secondary utilization technology of such retired power batteries is of great significance to minimize the battery cost and improve their whole life cycle value of them. To achieve safe, reliable, large-scale, and multi-scenario secondary utilization of retired power batteries, the study on the capacity degradation model of such retired batteries is crucial. In this condition, an approximate method for a retired battery capacity degradation model using limited test data of the state of charge (SOC) ranges, is proposed herein. First, the Gaussian polynomial function is fitted according to the test data of retired batteries with a high state of health (SOH) and hence extended to obtain the approximate model of capacity fade for low SOH of the retired batteries. Then, to fit the capacity degradation of retired batteries with different SOC ranges from the test data of limited SOC ranges, this paper proposes an approximate method for the capacity degradation model of retired batteries. Using the mathematical model of interval number similarity, the weight of the fitting curve can be determined by calculating the interval similarity between each SOC range and the test data SOC range, and the approximate model of retired battery capacity degradation in different SOC ranges is obtained. Finally, through the approximate method proposed herein, the retired battery capacity degradation model's fitting performance for different SOC ranges is compared with diverse battery test data, which verifies the applicability of the proposed method. © 2023 IEEE.

关键词： Charging (batteries)

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