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43rd Chinese control Conference, CCC 2024

作者： Su, Jiuzheng Hu, Wenshan Liu, Guo-Ping Lei, Zhongcheng Wuhan University School of Electrical Engineering and Automation Wuhan430072 China Southern University of Science and Technology Center for Control Science and Technology Shenzhen518055 China

ISBN: (纸本)9789887581581

The aluminum foil mill is an important industrial production equipment. To reduce operation and maintenance costs and prevent breakdowns in the rolling mill, it is necessary to analyze and predict the data of different sensors of the mill, including voltage, current, temperature and others. In this paper, the problem analysis and modeling of the actual rolling mill production process are carried out, and the typical data of sensors are analyzed based on the Transformer model. Experimental results are compared with other typical time series prediction models. The final results show that the Transformer model has great potential in the predictive maintenance of aluminum foil mill. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Aluminum foil

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Modeling the modulation of beta oscillations in the basal ganglia by dual-target optogenetic stimulation

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Fundamental research 2025年第1期5卷 82-92页

作者： Xiaomin Wang Ying Yu Qingyun Wang Department of Dynamics and Control Beihang UniversityBeijing 100191China School of Mathematics and Statistics Ningxia UniversityYinchuan 750021China Ningxia Basic Science Research Center of Mathematics Yinchuan 750021China

Optogenetic techniques provide precise control over the activity of specific neurons within the nucleus,offering more accurate regulatory effects compared to deep brain *** heterogeneity of the globus pallidus externa(GPe)has garnered wide attention,wherein significant differences in pathological changes emphasize its potential as a stimulation target with distinct mechanisms.A basal ganglia-thalamus(BG-Th)network model incorporating heterogeneous GPe is developed to explore potential optogenetic stimulation targets for treating Parkinson's disease(PD).Initially,the modulation mechanisms of single-target optogenetic stimulation on the abnormal rhythmic oscillations of BG nuclei are *** of D1 medium spine neuron(MSN),calcium-binding protein parvalbumin(PV)GPe,and inhibition of globus pallidus interna(GPi)can effectively suppress synchronous bursting activity in GPi,while excitation of GPi promotes high-frequency discharge to disrupt beta ***,dual-target optogenetic stimulation strategies are devised to reduce energy *** show that targets with similar mechanisms exhibit additive effects,whereas targets with opposing mechanisms lead to *** underlying effective mechanisms of dual-target strategies are:enhancing the inhibitory input to GPi thus inhibiting the activity of GPi,or disrupting beta oscillations by restoring high-frequency discharges in *** strategy composed of exciting D1 MSN and inhibiting GPi requires the minimum total light intensity among single-target and dual-target strategies in our ***,simultaneously enhancing PV GPe and inhibiting D2 MSN achieves the greatest reduction in total energy consumption(40.8%reduction),compared to only enhancing PV *** findings unveil effective circuit mechanisms of optogenetic stimulation and provide novel insights for designing precise regulatory strategies for PD.

关键词： Dual-target optogenetic stimulation Beta oscillation Heterogeneous globus pallidus externa Parkinson's disease Computational model

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Vehicle-Signal Fusion Based Autonomous Perception Method of Subway Train Adhesion Characteristic Parameters

Vehicle-Signal Fusion Based Autonomous Perception Method of ...

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International Conference on Artificial Intelligence and Autonomous Transportation, AIAT 2024

作者： Ou, Dongxiu Tong, Yunwen Wang, Yanghao Dai, Shaogang Chang, Ming College of Transportation Engineering Tongji University Shanghai201804 China Shanghai Engineering Research Center of Driverless Train Control System for Railway Transportation Shanghai200072 China

ISBN: (纸本)9789819639601

To address the issue of abnormal adhesion on rail surfaces and reduce the risk of slip/slide, this paper introduces an autonomous perception method for detecting adhesion characteristic parameters in subway trains. This method combines vehicle and signal data to identify adhesion parameters, and then uses the Kiencke adhesion characteristic model along with the SLSQP optimization algorithm to extract the critical traction/braking rate. Experimental results demonstrate that this approach can accurately detect low adhesion conditions and determine the critical traction/braking rate. Based on these findings, safety strategies and operational control commands can be developed to prevent trains from losing control, significantly enhancing the safety and operational efficiency of urban rail transit systems. © Beijing Paike Culture Commu. Co., Ltd. 2025.

关键词： Subway cars

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Motor Fault Diagnosis Under Complex Working Conditions Based on Signal Fusion and CA-CNN

Motor Fault Diagnosis Under Complex Working Conditions Based...

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2024 China Automation Congress, CAC 2024

作者： Cai, Mingxuan Liu, Qi Liu, Yuxiang Yang, Bo Department of Automation Shanghai Jiao Tong University shanghai China Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China

ISBN: (纸本)9798350368604

Accurate fault diagnosis plays a key role in the safe and efficient operation of electrical motors. Aiming at multi-class motor fault diagnosis under complex working conditions, a signal fusion-based fault diagnosis framework is proposed. Measurement parameters from different sensors are first transformed by wavelet denoising and fast Fourier transform (FFT). Then, multiple parameters spectrum and working condition information are integrated and converted into high-dimension matrices. Finally, a channel-attention-based convolution neural network (CA-CNN) is proposed to extract fault patterns from a reconstructed matrix and output diagnosis results. Experiment results on both simulated and experimental datasets verify the effectiveness of the proposed method. © 2024 IEEE.

关键词： Convolutional neural networks

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Photosensitivity sources of dissolved organic matter from wastewater treatment plants and their mediation effect on 17α-ethinylestradiol photodegradation

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Frontiers of Environmental science & engineering 2023年第6期17卷 49-62页

作者： Zhicheng Liao Bei Li Juhong Zhan Huan He Xiaoxia Yang Dongxu Zhou Guoxi Yu Chaochao Lai Bin Huan Xuejun Pan Faculty of Environmental Science and Engineering Kunming University of Science and TechnologyKunming 650500China Research Institute for Environmental Innovation(Suzhou) TsinghuaSuzhou 215163China Yunnan Provincial Key Laboratory of Carbon Sequestration and Pollution Control in Soils Kunming 650500China

Dissolved organic matter(DOM)from each treatment process of wastewater treatment plants(WWTPs)contains abundant photosensitive substances,which could significantly affect the photodegradation of 17α-ethinylestradiol(EE2).Nevertheless,information about EE2 photodegradation behavior mediated by DOM from diverse WWTPs and the photosensitivity sources of such DOM are *** study explored the photodegradation behavior of EE2 mediated by four typical WWTPs’DOM solutions and investigated the photosensitivity sources of DOM in the anaerobic-anoxic-oxic(A2/O)*** parallel factor analysis identified three varying fluorescing components of these DOM,tryptophan-like substances or protein-like substances,microbial humuslike substances,and humic-like *** photodegradation rate constants of EE2 were positively associated with the humification degree of DOM(P<0.05).The triplet state substances were responsible for the degradation of *** extracted from the A2/O process,especially in the secondary treatment process had the fastest EE2 photodegradation rate compared to that of the other three *** types of components(water-soluble organic matter(WSOM),extracellular polymeric substance,humic acid,and fulvic acid)were separated from the A2/O process *** had the highest promotion effect on EE2 *** acid-like components and humic acid-like organic compounds in WSOM were speculated to be important photosensitivity substances that can generate triplet state *** research explored the physicochemical properties and photosensitive sources of DOM in WWTPs,and explained the fate of estrogens photodegradation in natural waters.

关键词： Photosensitivity sources 17α-ethinylestradiol Photodegradation Dissolved organic matter Wastewater treatment plants

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Strong interface interaction and internal electric field promote electron transfer of Bi_(2)O_(2)S/NiFe_(2)O_(4) heterojunction for photocatalytic antibiotic degradation

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Journal of Materials science & Technology 2023年第27期158卷 145-155页

作者： Shaoxuan Pang Yilin Dong Dongyu Xu Qiuwen Wang Weihong Gao Lijun Zhang Kang Wang Guangming Zhang Longyi Lv Yuguo Xia Zhijun Ren Pengfei Wang School of Energy and Environmental Engineering Hebei University of TechnologyTianjin 300401China Tianjin Key Laboratory of Clean Energy and Pollutant Control Tianjin 300401China School of Chemistry and Chemical Engineering National Engineering Research Center for Colloidal MaterialsShandong UniversityJinan 250100China

Heterojunction photocatalysts have shown considerable activities for organic pollutants ***,the faint connection interface and inferior charge shift efficiency critically block the property of heterojunction ***,Bi_(2)O_(2)S/NiFe_(2)O_(4) nanosheets heterojunction with ultrastrong inter-face interaction and high internal electric field are designed by an in-situ growth *** and theoretical consequences prove that the interfacial interaction and internal electric field not only act as the electron flow bridge but also decrease the electrons shift energy obstacle,thus speeding up electrons transfer and achieving effective spatial electron-hole ***,a large amount of·O_(2)^(-)and holes as active species were ***,Bi_(2)O_(2) S/NiFe_(2)O_(4) establishes a considerably boosted photocatalytic performance for tetracycline degradation(0.032 min^(-1)),which is about 14.2-fold and 7.8-fold of the pristine BOS and NFO,*** work provides a promising motivation for modulating charge transfer by interface control and internal electric field to boost photocatalytic performance.

关键词： Bi_(2)O_(2)S/NiFe_(2)O_(4) S-scheme heterojunction Ultrastrong interface interaction Internal electric field Active species Photocatalytic degradation

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Contracted product of hypermatrices via STP of matrices

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control Theory and Technology 2023年第3期21卷 265-280页

作者： Daizhan Cheng Min Meng Xiao Zhang Zhengping Ji Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of SciencesBeijing 100190China Department of Control Science and Engineering School of Electronics and Information EngineeringTongji UniversityShanghai 201210China National Center for Mathematics and Interdisciplinary Sciences Chinese Academy of SciencesBeijing 100190China School of Mathematical Sciences University of Chinese Academy of SciencesBeijing 100149China

An equivalent definition of hypermatrices is *** matrix expression of hypermatrices is *** permu-tation matrices,the conversion between different matrix expressions is *** various kinds of contracted products of hyper... 详细信息

关键词： d-hypermatrix Matrix expression Permutation matrices-Contracted product Semi-tensor product(STP)

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Transferable,highly crystalline covellite membrane for multifunctional thermoelectric systems

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InfoMat 2024年第11期6卷 66-80页

作者： Myungwoo Choi Geonhee Lee Yea-Lee Lee Hyejeong Lee Jin-Hoon Yang Hanhwi Jang Hyeonseok Han MinSoung Kang Seonggwang Yoo A-Rang Jang Yong Suk Oh Inkyu Park Min-Wook Oh Hosun Shin Seokwoo Jeon Jeong-O Lee Donghwi Cho Department of Materials Science and Engineering Korea UniversitySeoulRepublic of Korea Thin Film Materials Research Center Korea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Chemical Data-Driven Research Center Korea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Division of Chemical and Material Metrology Korea Research Institute of Standards and ScienceDaejeonRepublic of Korea Department of Materials Science and Engineering Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Department of Mechanical Engineering Korea Advanced Institute of Science and TechnologyDaejeonRepublic of Korea Therapeutics&Biotechnology Division Drug Discovery Platform Research CenterKorea Research Institute of Chemical TechnologyDaejeonRepublic of Korea Querry Simpson Institute for Bioelectronics Northwestern UniversityEvanstonIllinoisUSA Division of Electrical Electronic and Control EngineeringKongju National UniversityCheonanRepublic of Korea Department of Mechanical Engineering Changwon National UniversityChangwonRepublic of Korea Department of Materials Science and Engineering Hanbat National UniversityDaejeonRepublic of Korea Advanced Materials and Chemical Engineering University of Science and TechnologyDaejeonRepublic of Korea

Emerging freestanding membrane technologies,especially using inorganic thermoelectric materials,demonstrate the potential for advanced thermoelectric ***,using rare and toxic elements during material processing must be ***,we present a scalable method for synthesizing highly crystalline CuS membranes for thermoelectric *** sulfurizing crystalline Cu,we produce a highly percolated and easily transferable network of submicron CuS *** CuS membrane effectively separates thermal and electrical properties to achieve a power factor of 0.50 mW m^(-1) K^(-2) and thermal conductivity of 0.37 W m^(-1) K^(-1) at 650 K(estimated value).This yields a record-high dimensionless figure-of-merit of 0.91 at 650 K(estimated value)for ***,integrating 12 CuS devices into a module resulted in a power generation of4μW atΔT of 40 K despite using a straightforward configuration with only p-type ***,based on the temperature-dependent electrical characteristics of CuS,we develop a wearable temperature sensor with antibacterial properties.

关键词： copper sulfide flexible thermoelectric generator multifunctional thermoelectric systems sulfurization thermoelectric membrane

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Integrated Enhanced Feature Fusion Module for Photovoltaic Defect Detection Network 43

Integrated Enhanced Feature Fusion Module for Photovoltaic D...

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43rd Chinese control Conference, CCC 2024

作者： Zhou, Ying Xu, Shibo Chen, Haiyong Liu, Kun Hebei University of Technology School of Artificial Intelligence Tianjin300130 China Hebei Control Engineering Research Center Tianjin300130 China

ISBN: (纸本)9789887581581

To address the challenges of high similarity between surface defect features and background features, as well as the variability in geometric shapes in solar cell surface defects, a solar cell surface defect detection network model called EMFAnet is proposed, which combines multi-scale features and attention mechanisms. Firstly, a Three-path Coordinate Attention (TCA) is designed to enhance the detection capability in the interested regions;secondly, to improve the accuracy and precision of defect localization and description, TCA is fused with deformable convolutions to form a Multi-Path Coordinate-Deformable Conv Module (MCD);lastly, to adapt to complex backgrounds and effectively detect defects at various scales, an enhanced multi-scale feature fusion method is designed. Experimental results demonstrate that the proposed approach achieves significantly higher accuracy in identifying solar cell EL defects compared to existing state-of-the-art detection algorithms. © 2024 Technical Committee on control Theory, Chinese Association of Automation.

关键词： Convolution

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Comparison of Structural Design Performance between 30 kV Oil-immersed Transformer and Dry-type Transformer 7

Comparison of Structural Design Performance between 30 kV Oi...

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7th IEEE International Electrical and Energy Conference, CIEEC 2024

作者： Yang, Haoming Weng, Lingang Zhu, Jianjun Feng, Chao Bao, Huijie Yuan, Xuguang Shi, Qinfeng Shu, Beili Zhejiang Doway Advanced Technology Co. Ltd Jinhua China Zhejiang Engineering Research Center of Odor Control Hangzhou China

ISBN: (纸本)9798350359558

The high-voltage pulse power supply was characterized by its high output voltage, narrow pulse width, large output current, and high frequency, rendering it extensively utilized across various fields. The transformer stood as a pivotal component within this system. In order to minimize the transformer's size, both oil-immersed and dry-type transformers utilizing the same transformer body were designed and compared. Simulation tools were used to analyze aspects such as appearance size, leakage inductance, temperature rise, and mechanical strength of the two transformer types. Under the condition of voltage with 30 kV, the dry-type transformer required a significantly smaller volume, approximately one-quarter of the oil-immersed transformer. Moreover, the temperature rise and mechanical strength of the dry-type transformer met the necessary requirements for operation. © 2024 IEEE.

关键词： Structural design

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