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2024 IEEE International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2024

作者： Meng, Linghui Xie, Jinyang Zhou, Zhenwei Chen, Yiqiang China Electronic Product Reliability and Environmental Testing Research Institute Science and Technology on Reliability Physics and Application of Electronic Component Laboratory Guangzhou China School of Electrical Engineering Beijing Jiaotong University Beijing China

ISBN: (纸本)9798350388855

With the objective to achieve an accurate diagnosis of commonly encountered fault problems in power electronic circuits and to prevent the occurrence of catastrophic failures, a soft fault diagnosis model for dc-dc converter based on the gram angle difference filed (GADF) and the channel split residual network (CSRN) is proposed. Firstly, the original fault data is coded by GADF to generate the fault data set. Secondly, channel split preprocessing (CSP) and Darwinian selection mechanism (DSM) are introduced to enhance the residual network and further construct the CSRN. CSP emphasizes the important channel features in the fault feature images by achieving a brute-force enhancement of the channel information and highlighting subtle features. DSM retains the key features and removes the secondary features during network training. The GADF-CSRN diagnosis model proposed in this paper is verified by the fault data collected from a dc-dc converter. The result showed that a diagnosis accuracy of 97.92% is achieved, surpassing the accuracy of conventional method by at least 1.85%, while exhibiting better noise resistance. © 2024 IEEE.

关键词： DC distribution systems

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High concentration of Ti^(3+)in C-TiO_(x)nanosheets boosting efficient photodegradation

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science China(Technological sciences) 2025年第3期68卷 156-166页

作者： Chongbei WU Xuan LI Haibin WANG Jiaxin TANG Shuai WEI Yuanyuan WU Aobing WANG Jizhou JIANG Hebei Key Laboratory of Man-machine Environmental Thermal Control Technology and Equipment Hebei Vocational University of Technology and EngineeringXingtai054000China School of Materials Science and Engineering Key Laboratory of Green Chemical Engineering Process of Ministry of EducationEngineering Research Center of Phosphorus Resources Development and Utilization of Ministry of EducationWuhan Institute of TechnologyWuhan430205China

Semiconductor photocatalysis holds significant promise for addressing dye-pollution in ***,the efficiency of photocatalytic water purification is constrained by the weak light absorption capacity and low active site distribution of *** a bottom-up approach,carbon-doped TiO_(x)(C-TiO_(x))nanosheets with high concentrations of Ti^(3+)active sites were fabricated by etching the Al element in Ti_(3)Ai C_(2)with H_(2)O_(2).Experimental evidence demonstrates that the optimal C-TiO_(x)nanosheets exhibit high activity for the photocatalytic degradation of methylene blue,achieving a degradation rate of 100%within 50 *** introduction of carbon into the C-TiO_(x)nanosheets induces a red shift in the absorption edge,boosting the migration of photo-generated charge ***,there is a significant correlation between the concentration of Ti^(3+)active sites and the density of oxygen vacancies in the C-TiO_(x)nanosheets,which synergistically influence the photocatalytic degradation performance of MB dye wastewater.

关键词： bottom-up strategies C-TiO_(x)nanosheets high-concentrations Ti^(3+) photocatalytic degradation

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Distribution and bioavailability of mercury in size-fractioned atmospheric particles around an ultra-low emission power plant in Southwest China

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Journal of environmental sciences 2024年第4期138卷 141-152页

作者： Wei Zhang Jinjuan Li Hao Qiu Xingqiang Guo Zhijun Fei Yi Xing Deliang Yin College of Resources and Environmental Engineering Guizhou UniversityGuiyang 550025China College of Resources and Environmental Engineering Guizhou Institute of TechnologyGuiyang 550003China Key Laboratory of Karst Georesources and Environment(Guizhou University) Ministry of EducationGuiyang 550025China School of Energy and Environmental Engineering University of Science&Technology BeijingBeijing 100083China

Ultra-low emission(ULE)technology retrofits significantly impact the particulate-bound mercury(Hg)emissions from coal-fired power plants(CFPPs);however,the distribution and bioavailability of Hg in size-fractioned particulate matter(PM)around the ULE-retrofitted CF-PPs are less ***,total Hg and its chemical speciation in TSP(total suspended particles),PM_(10)(aerodynamic particle diameter≤10μm)and PM_(2.5)(aerodynamic particle diameter≤2.5μm)around a ULE-retrofitted CFPP in Guizhou Province were *** PM_(2.5)concentration was higher around this ULE-retrofitted CFPP than that in the intra-regional urban cities,and it had higher mass Hg concentration than other sizefractioned *** Hg concentrations in PM had multifarious sources including CFPP,vehicle exhaust and biomass combustion,while they were significantly higher in autumn and winter than those in other seasons(P<0.05).Regardless of particulate size,atmospheric PM-bound Hg had lower residual fractions(<21%)while higher HCl-soluble fractions(>40%).Mass concentrations of exchangeable,HCl-soluble,elemental,and residual Hg in PM_(2.5)were higher than those in other size-fractioned PM,and were markedly elevated in autumn and winter(P<0.05).In PM_(2.5),HCl-soluble Hg presented a significantly positive relationship with elemental Hg(P<0.05),while residual Hg showed the significantly positive relationships with HCl-soluble Hg and elemental Hg(P<0.01).Overall,these results suggested that atmospheric PM-bound Hg around the ULE-retrofitted CFPP tends to accumulate in finer PM,and has higher bioavailable fractions,while has potential transformation between chemical speciation.

关键词： Size-fractioned particles Mercury Chemical speciation Coal-fired power plant Ultra-low emission

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Cu-based materials for electrocatalytic CO_(2) to alcohols:Reaction mechanism,catalyst categories,and regulation strategies

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Journal of Energy Chemistry 2024年第10期97卷 593-611,I0013页

作者： Yaru Lei Yaxin Niu Xiaolong Tang Xiangtao Yu Xiubing Huang Xiaoqiu Lin Honghong Yi Shunzheng Zhao Jiaying Jiang Jiyue Zhang Fengyu Gao Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants School of Energy and Environmental EngineeringUniversity of Science and Technology BejingBeijing 100083China Collaborative Innovation Center for Steel Technology University of Science and Technology BeijingBeijing 100083China Beijing Key Laboratory of Function Materials for Molecule&Structure Construction School of Materials Science and EngineeringUniversity of Science and Technology BeijingBeijing 100083China

Electrocatalytic CO_(2) reduction reaction(CO_(2)RR)technology,which enables carbon capture storage and resource utilization by reducing CO_(2) to valuable chemicals or fuels,has become a global research hotspot in recent *** the many products of CO_(2)RR(carbon monoxide,acids,aldehydes and alcohols,olefins,etc.),alcohols(methanol,ethanol,propanol,etc.)have a higher market value and energy density,but it is also more difficult to *** is known to be effective in catalyzing CO_(2) to high valueadded alcohols,but with poor *** progress of Cu-based catalysts for the selective generation of alcohols,including copper oxides,bimetals,single atoms and composites is ***,to improve Cu-based catalyst activity and modulate product selectivity,the modulation strategies are straighten out,including morphological regulation,crystalline surface,oxidation state,as well as elemental doping and defect *** on the research progress of electrocatalytic CO_(2) reduction for alcohol production on Cu-based materials,the reaction pathways and the key intermediates of the electrocatalytic CO_(2)RR to methanol,ethanol and propanol are ***,the problems of traditional electrocatalytic CO_(2)RR are introduced,and the future applications of machine learning and theoretical calculations are *** in-depth discussion and a comprehensive review of the reaction mechanism,catalyst types and regulation strategies were carried out with a view to promoting the development of electrocatalytic CO_(2)RR to alcohols.

关键词： Electrocatalytic CO_(2)RR Cu-based catalyst Alcohols Reaction mechanism Regulation strategies

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Surface engineering of P2-type cathode material targeting long-cycling and high-rate sodium-ion batteries

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Journal of Energy Chemistry 2024年第10期97卷 444-452,I0009页

作者： Jun Xiao Yang Xiao Shijian Wang Zefu Huang Jiayi Li Cheng Gong Guilai Zhang Bing Sun Hong Gao Huiqiao Li Xin Guo Yong Wang Hao Liu Guoxiu Wang Centre for Clean Energy Technology School of Mathematical and Physical SciencesFaculty of ScienceUniversity of Technology SydneyBroadwaySydneyNew South Wales 2007Australia Joint International Laboratory on Environmental and Energy Frontier Materials School of Environmental and Chemical EngineeringShanghai UniversityShanghai 200444China State Key Laboratory of Materials Processing and Die and Mould Technology School of Materials Science and EngineeringHuazhong University of Science and TechnologyWuhan 430074HubeiChina

The widespread interest in layered P2-type Mn-based cathode materials for sodium-ion batteries(SIBs)stems from their cost-effectiveness and abundant ***,the inferior cycle stability and mediocre rate performance impede their further development in practical ***,we devised a wet chemical precipitation method to deposit an amorphous aluminum phosphate(AlPO_(4),denoted as AP)protective layer onto the surface of P2-type Na_(0.55)Ni_(0.1)Co_(0.7)Mn_(0.8)O_(2)(NCM@AP).The resulting NCM@5AP electrode,with a 5 wt%coating,exhibits extended cycle life(capacity retention of78.4%after 200 cycles at 100 mA g^(-1))and superior rate performance(98 mA h g^(-1)at 500 mA g^(-1))compared to pristine ***,our investigation provides comprehensive insights into the phase stability and active Na^(+)ion kinetics in the NCM@5AP composite electrode,shedding light on the underlying mechanisms responsible for the enhanced performance observed in the coated electrode.

关键词： Layered metal oxides Sodium-ion batteries P2-type structure Surface engineering

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Fault Feature Recognition Of Satellite Power System Based On Incremental Learning 15

Fault Feature Recognition Of Satellite Power System Based On...

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15th IEEE Global reliability and Prognostics and Health Management Conference, PHM-Beijing 2024

作者： Li, Zhipeng Yang, Yang Dong, Yanchen Zhu, Baolong Suo, Mingliang School of Reliability and Systems Engineering Beihang University Beijing100191 China No.31850 Unit People's Liberation Army of China Beijing102200 China Jinan250353 China Institute of Reliability Engineering National Key Laboratory of Science and Technology on Reliability and Environmental Engineering School of Reliability and Systems Engineering Beihang University Beijing100191 China

ISBN: (纸本)9798350354010

In modern communications and technology, satellite power systems play a central role, and their reliability and fault diagnosis technology are increasingly important. Traditional fault diagnosis methods mainly include signal processing and model-based methods, but they are often inefficient and have limited accuracy when processing complex data sets. This paper proposes a feature selection algorithm based on incremental learning to improve the efficiency and accuracy of fault diagnosis. Its advantage is that it can only evaluate the newly added feature set without the need to reprocess the entire data set, thus optimizing the feature selection process and significantly improving the efficiency and response speed of the algorithm. In order to verify its effectiveness, this article selected 8 public data sets and 4 satellite power system simulation data sets for testing. Then, widely used algorithms are introduced to compare with the algorithm proposed in this article for a more comprehensive comparative analysis. By comparing the differences in running time and classification accuracy of the algorithms, it is concluded that the algorithm proposed in this article can significantly reduce the running time while maintaining or improving the classification effect, verifying the feasibility of the algorithm. © 2024 IEEE.

关键词： Satellite communication systems

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Polyoxometalates coupled covalent organic frameworks as highly active photothermal nanoreactor for CO_(2)cycloaddition

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Nano Research 2024年第7期17卷 5975-5984页

作者： Tian Wang Yunqing Zhu Wei Wang Junfeng Niu Zhiyi Lu Peilei He School of Environmental Science and Engineering Shaanxi University of Science and TechnologyXi’an 710021China Key Laboratory of Advanced Fuel Cells and Electrolyzers Technology of Zhejiang Province Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China College of Environmental Science and Engineering North China Electric Power UniversityBeijing 102206China University of Chinese Academy of Sciences Beijing 100049China

Covalent organic frameworks(COFs)-based nanoreactors have attracted broad interest in many fields due to their voidconfinement ***,the inherent drawback of conventional nanoreactors is the lack of internal active sites,which limits their widespread ***,we report the construction of hierarchical COF(EB-TFP)nanoreactor with pre-synthesized polyoxometalates(POM,[PV_(2)W_(10)O_(40)]^(5–)(PV_(2)W_(10)))clusters encapsulated inside of COF(POM@COF).PV_(2)W_(10)@EB-TFP anchors nucleophilic-group(Br–ions)and PV_(2)W_(10)anion cluster within the COF framework via electrostatic interactions,which not only simplifies the reaction system but also enhances catalytic *** reaction performance of the PV_(2)W_(10)@EB-TFP nanoreactor can be tuned to achieve excellent catalytic activity in CO_(2)cycloaddition reaction(CCR)for~97.63%conversion and~100%selectivity under visible light irradiation.A mechanistic study based on density functional theory(DFT)calculations and insitu characterization was also carried *** summary,we have reported a method for achieving the uniform dispersion of POM single clusters into COF nanoreactor,demonstrating the potential of POM@COF nanoreactor for synergistic photothermal catalytic CO_(2)cycloaddition.

关键词： photothermal nanoreactor CO_(2)cycloaddition polyoxometalate photothermal-synergistic catalysis covalent organic frameworks

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Machine learning for parameters diagnosis of spark discharge by electro-acoustic signal

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Plasma science and technology 2024年第8期26卷 64-72页

作者：熊俊卢诗宇刘晓明周文俊查晓明裴学凯 State Key Laboratory of Power Grid Environmental Protection School of Electrical Engineering and AutomationWuhan UniversityWuhan 430072People’s Republic of China State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of TechnologyTianjin 300131People’s Republic of China

Discharge plasma parameter measurement is a key focus in low-temperature plasma *** diagnostics often require costly equipment,whereas electro-acoustic signals provide a rich,non-invasive,and less complex source of discharge *** study harnesses machine learning to decode these *** establishes links between electro-acoustic signals and gas discharge parameters,such as power and distance,thus streamlining the prediction *** building a spark discharge platform to collect electro-acoustic signals and implementing a series of acoustic signal processing techniques,the Mel-Frequency Cepstral Coefficients(MFCCs)of the acoustic signals are extracted to construct the *** machine learning models(Linear Regression,k-Nearest Neighbors,and Random Forest)are introduced and applied to the predictors to achieve real-time rapid diagnostic measurement of typical spark discharge power and discharge *** models display impressive performance in prediction precision and fitting *** them,the k-Nearest Neighbors model shows the best performance on discharge power prediction with the lowest mean square error(MSE=0.00571)and the highest R-squared value(R^(2)=0.93877).The experimental results show that the relationship between the electro-acoustic signal and the gas discharge power and distance can be effectively constructed based on the machine learning algorithm,which provides a new idea and basis for the online monitoring and real-time diagnosis of plasma parameters.

关键词： discharge plasma plasma real-time diagnosis electro-acoustic signal machine learning acoustic signature

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Distribution and influencing factors of microeukaryote in different water layers of the southwestern Indian Ocean Ridge

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Journal of Oceanology and Limnology 2024年第5期42卷 1525-1539页

作者： Zhong LI Chao YUAN Ping SUN Mingzhu FU Xuelei ZHANG Zongling WANG Qinzeng XU College of Environmental Science and Engineering Ocean University of ChinaQingdao 266100China Key Laboratory of Marine Eco-Environmental Science and Technology First Institute of OceanographyMinistry of Natural ResourcesQingdao 266061China

Microeukaryotes play a vital role in shaping marine ecosystems,especially in marine productivity,the microbial food web,and carbon *** Indian Ocean is one of the largest oligotrophic areas in the world,but little is known about the biodiversity of microeukaryotes in the *** community composition and geographical distribution of microeukaryotes collected from the surface(SUR)and deep chlorophyll maximum(DCM)layers in the southwestern Indian Ocean were studied using high-throughput sequencing of the 18S rRNA *** metagenomic data helped quantify the impact of environmental factors on microeukaryotic *** relative abundance of different taxa groups exhibited distinct patterns between SUR and DCM layers,except for the most dominant Dinoflagellata that accounted for more than 40.6%abundance in each *** was much more abundant in the nutrient-rich DCM layer than the SUR *** community similarity of microeukaryotes decreased with increasing of geographic distance,whereas the temperature and inorganic nitrogen were the most important environmental parameters to community *** communities were more influenced by dispersal limitations and rare communities were more responsive to environmental *** network analyses revealed strong biotic interactions indicative of parasitism,predation and competition,and their contribution to microeukaryotic population in diverse ***,this study provided insights into the biodiversity of microeukaryotes by characterizing the differences between water layers and identifying the driving factors in the ocean.

关键词： microeukaryote southwestern Indian Ocean community structure environmental factor biotic interaction Dinoflagellata

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Plastic quasicrystal-containing alloys prepared by annealing pseudo-high entropy Zr70-75(Al,Ni,Cu,Ag)25-30 glassy alloys

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材料科学技术（英文版） 2025年第5期208卷 1-10页

作者： Cong Liu Chen Yang Jing Ding Xiangxiang Jiang Hongzhi Luo Ao Guo Bingxiang Xu Xuefang Dai Shengli Zhu Guodong Liu State Key Laboratory of Reliability and Intelligence of Electrical Equipment School of Materials Science and EngineeringHebei University of TechnologyTianjin 300130China School of Energy and Machinery Dezhou UniversityDezhou 253023China School of Materials Science and Engineering Tianjin UniversityTianjin 300072China School of Materials Science and Engineering Lanzhou Jiaotong UniversityLanzhou 730070China

A glassy(G)phase was formed for Zr-rich Zr70-75(Al,Ni,Cu,Ag)25_30(atomic percent,at.％)melt-spun alloy *** glassy alloys exhibit the glass transition,followed by a supercooled liquid region and then three-stage *** glass transition temperature and the onset temperature for the first-stage crystallization(Tx1)decrease from 630 to 668 K,respectively for the 70Zr alloy to 619 and 652 K,respectively for the 75Zr *** first-stage exothermic peak is due to the precipitation of an icosahedral quasicrystal(IQ)*** IQ particle size decreases from 10 nm to 6 nm with increasing Zr content from 70 at.％to 74 at.％.The[G+IQ]phases change to Zr2Ni+Zr2(Cu,Ag)phases after the second exothermic peak and then Zr2Ni+Zr2(Cu,Ag)+Zr5Al3 phases after the third *** is noticed that the as-spun glassy alloy ribbons as well as the annealed[G+IQ]phase ribbons exhibit good bending ***,the 70Zr thicker ribbons also exhibit high tensile fracture strength of 1090-1187 MPa and plastic elongation of 0.17％-0.42％.The fracture mode is similar to that of ordinary bulk metallic *** Vickers hardness(Hv)is 480 for 70Zr alloy and decreases to 436 for 75Zr *** precipitation of IQ phase causes a significant increase in Hv to about *** formations of glassy alloys with high Zr contents of 70 at.％-75 at.％by melt spinning as well as the[G+IQ]phase alloys with good bending plasticity by annealing hold promise for the creation of a new type of engineering material,transcending mere academic novelty.

关键词： Pseudo-high entropy glassy alloy Icosahedral quasicrystal Plasticity Mechanical property

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