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Investigation of incipient faults in 66 kV oil-filled cable sealing ends

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High Voltage 2022年第4期7卷 666-675页

作者： Vidyadhar Peesapati Christos Zachariades George Callender siyu gao Oliver Cwikowski Richard Gardner Department of Electrical and Electronics Engineering The University of ManchesterManchesterUK Department of Electrical Engineering and Electronics University of LiverpoolLiverpoolUK Tony Davies High Voltage Laboratory University of SouthamptonSouthamptonUK National Grid plc WarwickUK

This paper reports on the investigation of incipient fault mechanisms of a widely used family of Cable Sealing Ends(CSEs)which use an earthed metallic clip on top of the stress cone to fasten the cable termination stress *** element simulations indicate that the clip is causing localised electric field enhancement which could also cause impurities in the oil to move towards the clip under the influence of the dielectrophoretic *** ageing tests of stress cones in the laboratory have corroborated the simulation results,with the high electric field causing degradation of the semi-conducting tape underneath the clip as well as initiation of tracking on the surface of the stress cone originating from the edges of the *** discharge(PD)testing using a bespoke test rig in the high voltage laboratory has shown that incipient faults originating from the ageing of the solid CSE materials can only be detected after surface tracking has pro-gressed *** then,the intermittent nature of PD activity can pose a risk to the accurate condition assessment of CSEs if continuous monitoring is not employed and if the ultra-high frequency method is used on its own.

关键词： incipient sealing filled

Research progress on preparation of cerium-based oxide catalysts with specific morphology and their application for purification of diesel engine exhaust

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Journal of Rare Earths 2024年第7期42卷 1187-1216,I0001页

作者： Chunlei Zhang siyu gao Di Yu Shengran Zhou Lanyi Wang Xuehua Yu Zhen Zhao Institute of Catalysis for Energy and Environment College of Chemistry and Chemical EngineeringShenyang Normal UniversityShenyang110034China State Key Laboratory of Heavy Oil Processing China University of PetroleumBejing102249China

The elimination of pollutants from diesel exhaust has received widespread research attention as they cause serious air pollution and pose a threat to human *** post-treatment technology is one of the most effective and universal technologies to treat diesel exhaust *** design and development of efficient and low-cost catalysts is the key factor to realize the wide application of catalytic post-treatment ***(Ce)-based oxides with specific morphologies are widely used to eliminate pollutants in diesel vehicle exhaust due to their unique physical and chemical properties,such as high catalytic activity,low cost and *** this review,the preparation methods of Cebased oxide materials with specific morphologies,such as nanoparticles,nanocubes,nanorods,nanofibers,and multi-stage pores,are introduced in detail,and the research progress on using these catalysts for the removal of carbon monoxide,hydrocarbons,soot particles,nitrogen oxides,and other pollutants from diesel exhaust is reviewed in ***,the unresolved issues associated with using Ce-based oxide catalysts with a specific morphology to catalytically remove pollutants from diesel exhaust are highlighted,and future application prospects and development directions are discussed.

关键词： Ce-based oxide catalysts Dies elexhaust pollutants Specific morphology Catalytic purification Rare earths

Finding predictive models for singlet fission by machine learning

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npj Computational Materials 2022年第1期8卷 669-678页

作者： Xingyu Liu Xiaopeng Wang siyu gao Vincent Chang Rithwik Tom Maituo Yu Luca M.Ghiringhelli Noa Marom Department of Materials Science and Engineering Carnegie Mellon UniversityPittsburghPA15213USA Qingdao Institute for Theoretical and Computational Sciences Shandong UniversityQingdaoShandong266237People’s Republic of China Department of Physics Carnegie Mellon UniversityPittsburghPA15213USA NOMAD Laboratory at the Fritz Haber Institute of the Max Planck Society and Humboldt University BerlinGermany Department of Chemistry Carnegie Mellon UniversityPittsburghPA15213USA

Singlet fission(SF),the conversion of one singlet exciton into two triplet excitons,could significantly enhance solar cell *** crystals that undergo SF are *** exploration may accelerate the discovery of SF ***,many-body perturbation theory(MBPT)calculations of the excitonic properties of molecular crystals are impractical for large-scale materials *** use the sure-independence-screening-and-sparsifying-operator(SISSO)machine-learning algorithm to generate computationally efficient models that can predict the MBPT thermodynamic driving force for SF for a dataset of 101 polycyclic aromatic hydrocarbons(PAH101).SISSO generates models by iteratively combining physical primary *** best models are selected by linear regression with *** SISSO models successfully predict the SF driving force with errors below 0.2 *** on the cost,accuracy,and classification performance of SISSO models,we propose a hierarchical materials screening *** potential SF candidates are found in the PAH101 set.

关键词： materials singlet independence

Relationship between Shanghai Sand Junk Culture and the Development of Shanghai International Shipping Center

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Meteorological and Environmental Research 2021年第5期12卷 31-34页

作者： Qunzhen QU siyu gao School of Economics&Management Shanghai Maritime UniversityShanghai 201306China

From the three aspects of material culture,institutional culture and spiritual culture,the connotation and development of Shanghai sand junk culture and the position in Shanghai shipping culture were analyzed,and the relationship between Shanghai sand junk culture and the development of Shanghai International Shipping Center was studied according to the construction target and the soft power demand of Shanghai International Shipping Center.

关键词： Sand junk culture Shanghai International Shipping Center Shipping culture Relationship

利用面片法向量保留模型特征的3D打印自适应分层算法

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西安交通大学学报 2021年第8期55卷 50-58页

作者：朱敏党元清高思煜高强哈尔滨工业大学电气工程及自动化学院哈尔滨150001 哈尔滨工业大学机电工程学院哈尔滨150001

针对传统算法计算复杂、不能有效保留模型特征的问题,提出一种以STL文件中三角面片法向量为计算基础、可以减小台阶效应并且识别和保留模型特征的自适应分层算法。首先计算面片法向量在分层方向上的分量,识别出分量较大处即为模型表面... 详细信息

针对传统算法计算复杂、不能有效保留模型特征的问题,提出一种以STL文件中三角面片法向量为计算基础、可以减小台阶效应并且识别和保留模型特征的自适应分层算法。首先计算面片法向量在分层方向上的分量,识别出分量较大处即为模型表面倾斜角度较小的地方,在该地方采用较小的分层厚度以减小台阶效应。然后给出一种识别模型特征的方法,利用面片法向量计算模型面片之间的二面角大小和顶点的复杂程度,识别出模型表面的锐边和复杂点特征。接着在特征附近采用较小的分层厚度以保留模型特征,其余地方采用较大的分层厚度以减少打印时间。最后检测遗漏的三角面片并对分层厚度进行修正,以防止模型特征丢失。实验结果表明:对于实验所采用的哑铃模型,所提算法能识别出传统算法识别不出的非局部最高或最低特征点;对于龙猫模型和锥体模型,本文算法可以识别出所有模型特征,并且可以根据模型特征的复杂程度调节分层厚度,在保证尖端高度分别为0.400 mm和0.355 mm的前提下,分层数较传统识别模型特征的自适应分层算法分别降低了2.5%和1.2%。

关键词：自适应分层面片法向量模型特征 STL模型 3D打印

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Stampacchia引理、推广及应用

河北大学学报（自然科学版） 2021年第5期41卷 481-487页

作者：高红亚高斯宇河北大学数学与信息科学学院河北省机器学习与计算智能重点实验室河北保定071002 北德克萨斯大学数学系德克萨斯州丹顿76203

经典的Stmapacchia引理在椭圆型偏微分方程的正则性理论和变分问题中有广泛应用.本文总结Stampacchia引理和此引理的若干推广,并给出这些推广在某退缩椭圆型偏微分方程正则性理论中的应用.

关键词： Stampacchia引理推广椭圆型偏微分方程变分问题正则性

CO_(2)跨临界制冷循环系统[火用]经济分析

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太阳能学报 2020年第1期41卷 60-65页

作者：杨俊兰高思雨李久东天津城建大学能源与安全工程学院天津300384

为优化CO2跨临界制冷循环系统,以达到能效和经济之间的平衡,提出?经济分析方法,并建立数学模型,模拟分析系统的COP、?效率及系统各部件的损、?经济成本等随气体冷却器出口温度升高的变化趋势。结果表明,系统的COP和?效率呈现下降趋势;... 详细信息

为优化CO2跨临界制冷循环系统,以达到能效和经济之间的平衡,提出?经济分析方法,并建立数学模型,模拟分析系统的COP、?效率及系统各部件的损、?经济成本等随气体冷却器出口温度升高的变化趋势。结果表明,系统的COP和?效率呈现下降趋势;各部件损除蒸发器略有下降外,压缩机、气体冷却器、节流阀的?损均有不同程度的增大;系统单位产品?成本呈现下降趋势;减小节流阀产生的?损有利于提高系统的效率。

关键词： CO_(2) 跨临界循环热力学分析 [火用]经济分析

中国战略科技人才成长阶段流动规律研究——以281名中国工程院院士为例

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中国科技论坛 2023年第3期 104-114页

作者：瞿群臻高思玉牛萍上海海事大学经济管理学院上海201306 科学技术部科技人才交流开发服务中心北京100045

中国工程院院士作为中国战略科技人才的代表群体,为中国科学智库的建设和战略科技决策提供支撑。本文以2015—2021年间增选的中国工程院院士为研究对象,收集其中281名院士在3个成长阶段中的流动数据,包括籍贯地到本科就读地,首次就业地... 详细信息

中国工程院院士作为中国战略科技人才的代表群体,为中国科学智库的建设和战略科技决策提供支撑。本文以2015—2021年间增选的中国工程院院士为研究对象,收集其中281名院士在3个成长阶段中的流动数据,包括籍贯地到本科就读地,首次就业地与最高学历就读地间和就业地间的流动,采用社会网络分析法对3个流动网络进行分析。结果表明,随着院士成长阶段的推移,院士流动趋于稳定,北京逐渐成为全国院士流动网络的核心,省级行政区对院士的吸引力受到当地高等教育水平的影响。据此,本文从政府部门,高校、科研院所和科技企业,以及战略科技人才自身3个方面提出战略科技人才培养和保留的对策建议。

关键词：战略科技人才人才流动规律社会网络分析

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甘肃草地4种毒杂草潜在入侵区预测研究

生态学报 2019年第14期39卷 5301-5307页

作者：王文婷高思雨王淑璠西北民族大学数学与计算机科学学院

针对4种著名的草原毒杂草:醉马草,黄花棘豆,狼毒和露蕊乌头,应用生态位模型分别研究其在甘肃的潜在扩散区域。首先,通过最近邻体距离法和相关性分析分别选取样本数据和环境变量,接着应用最大熵方法(Maxent)建立生态位模型,预测了4种毒... 详细信息

针对4种著名的草原毒杂草:醉马草,黄花棘豆,狼毒和露蕊乌头,应用生态位模型分别研究其在甘肃的潜在扩散区域。首先,通过最近邻体距离法和相关性分析分别选取样本数据和环境变量,接着应用最大熵方法(Maxent)建立生态位模型,预测了4种毒杂草的潜在分布区。最后通过Matlab和ENMTools计算了地理分布重心、平均海拔、等级分布区比例、生态位宽度、生态位重合度和地理分布重合度。研究结果表明:4种毒杂草中醉马草和狼毒的环境适应能力较强,但醉马草的分布范围更为广泛,从祁连山脉一直延伸到甘南草原,扩散重心基本在祁连山西侧,而狼毒分布范围主要在甘肃南部,地理分布重心大致位于兰州地区。黄花棘豆的分布范围主要集中在祁连山脉,而露蕊乌头更偏向甘南草原地区。

关键词：生态位模型潜在分布区毒杂草地理分布重心