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The reconstruction of equal-mole bimetal organic framework to heterostructure for effective oxygen evolution reaction

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Journal of Materials Science & technology 2024年第36期203卷 118-125页

作者： Jinxia Yang Zhaoxia Hu Youlei Feng Zehua Zou Xiaoping Chen Qingxiang Wang Fujian Provincial Key Laboratory of Modern Analytical Science and Separation Technology Fujian Provincial Key Laboratory of Pollution Monitoring and ControlCollege of ChemistryChemical Engineering and EnvironmentMinnan Normal UniversityZhangzhou363000China

Oxygen evolution reaction(OER)is one of the most important issues for hydrogen production from water *** the OER process,electrochemical reconstruction is widely observed for the majority of electrocatalysts,which is strongly related to the formation and evolution of real active ***,bimetal metal-organic framework(MOF)with an equal ratio of Co and Fe sites is screened to exhibit the superior OER *** obvious reconstruction is observed to transform single MOF phase into the heterostructure composed of active CoOOH and ***,the generation of Co^(3+)species is more reliant on the blessing of electricity and electrolyte than that of Fe3+*** a result,the optimal electrocatalyst shows the overpotential of 267 mV at 10 mA/cm^(2)and ultra-low Tafel slope of 24.7 mV/dec with a stable OER performance.

关键词： Oxygen evolution reaction Metal-organic frameworks Reconstruction Heterostructure

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RESEARCH ON AUTONOMOUS INTERVAL MAINTENANCE IN COLLABORATIVE FLIGHT OF UNMANNED AERIAL VEHICLES 10

RESEARCH ON AUTONOMOUS INTERVAL MAINTENANCE IN COLLABORATIVE...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Ling, Xing Wang, Weiye Li, Qing School of Automation Beijing Information Science & Technology University Beijing China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing China

ISBN: (纸本)9781837242672

This study investigates the use of the Vicsek model for maintaining autonomous intervals in the cooperative flight of unmanned aerial vehicles (UAVs). Although the Vicsek model effectively simulates group movement, it does not inherently maintain safe intervals between drones. To address this limitation, we propose an enhanced approach that incorporates a speed adaptive mechanism and a repulsive force mechanism. The speed adaptive mechanism dynamically adjusts the drone's speed based on its proximity to neighboring drones, slowing down when in close proximity and speeding up when further apart, thus preventing collisions. Additionally, the repulsive force mechanism ensures that drones maintain a safe distance from each other, even in high-density areas, thereby avoiding clustering and maintaining formation stability. Our simulation results indicate that drones equipped with these mechanisms achieve direction and speed consistency more rapidly, effectively avoid collisions in dense environments, and enhance overall movement speed and task execution efficiency. This approach provides a robust solution for autonomous interval maintenance in UAV swarms, ensuring safe and efficient collaborative operations in complex environments. The findings of this study contribute significantly to the field of UAV collaborative flight, offering practical implications for military reconnaissance, agricultural management, logistics, and disaster relief applications. © The Institution of Engineering & technology 2024.

关键词： Drones

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Coordinated Suppression Method of Fault Current for DC Grid with Novel Dissipative Resistors Topology

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CSEE Journal of Power and Energy Systems 2024年第6期10卷 2371-2383页

作者： Shouqi Jiang Huanyu Zhao Guoqing Li Yechun Xin Lixin Wang Weiru Wang Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin 132012China.

A DC grid based on half-bridge modular multilevel converters(HB-MMC)is a feasible means to realize the friendly grid connection of renewable *** solve problems such as the high cost and technical difficulty of DC circuit breakers(DCCB),a coordinated control method for fault current suppression of DC grid connecting wind power is *** key influencing factors of DC fault current are revealed by fault characteristics analysis,and an adaptive current-limiting control method for MMC is proposed,whose parameter selection principles are designed to ensure the safe operation of equipment while achieving effective suppression of fault *** addition,a novel configuration method of dissipative resistors with the current-limiting function is proposed,which can solve the problem of surplus power in the DC grid and reduce the current stress of converter *** on this,a coordination scheme of dissipative resistors,the adaptive current-limiting control method,and DCCBs are proposed to block fault current,effectively reducing the manufacturing difficulty and cost of ***,a four-terminal DC grid simulation model is built based on the RTLAB OP5600 real-time digital simulation platform,and the effectiveness and feasibility of the proposed methods are verified.

关键词： Adaptive current-limiting control coordinated suppression method dissipative resistor DC grid parameter selection principle

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SHORT-TERM TRAFFIC FLOW FORECASTING USING ADAPTIVE ECHO STATE NETWORKS 10

SHORT-TERM TRAFFIC FLOW FORECASTING USING ADAPTIVE ECHO STAT...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Li, Zhouyang Wang, Weiye Li, Qing School of Automation Beijing Information Science & Technology University Beijing China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing China

ISBN: (纸本)9781837242672

In recent years, with the increase in vehicle volume, the traffic system has been inconvenienced. Therefore, the timeliness and accuracy of traffic flow prediction are crucial to the overall efficiency of the traffic system. Echo state network (ESN) has attracted extensive attention in the field of time series and traffic flow prediction due to its simple concept, low computational cost and simplicity. However, the traditional ESN model has certain limitations in terms of prediction accuracy and stability when facing complex and changeable traffic flow data. In order to solve this problem, this paper proposes an ESN prediction model combined with adaptive optimization. The simulated annealing algorithm is used to optimize the configuration of several important parameters of ESN, thereby improving the prediction performance and stability of the model. The experimental results show that the optimized ESN model is significantly better than the traditional ESN method in terms of prediction accuracy and stability. The monthly mean absolute percentage error (MAPE) is reduced from 10.05% to 6.6%, and the average error of each detector is reduced from 9.5% to 6.61%. This study proposes a more efficient and reliable method for short-term traffic flow prediction, which shows potential value in practical applications. © The Institution of Engineering & technology 2024.

关键词： Simulated annealing

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Fluctuation Classification and Feature Factor Extraction to Forecast Very Short-Term Photovoltaic Output Powers

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CSEE Journal of Power and Energy Systems 2025年第2期11卷 661-670页

作者： Mao Yang Xiaoxuan Shen Dawei Huang Xin Su Key Laboratory of Modern Power System Simulation and Control&Renewable Energy Technology Ministry of EducationNortheast Electric Power UniversityJilin 132012China

In recent years, a spurt of photovoltaic power generation has brought certain impact on stability of the power system, which puts forward higher requirements on accuracy of photovoltaic power prediction. Therefore, this paper proposes a hybrid power prediction model based on fluctuation classification and feature factor extraction. First, based on fluctuation characteristics of photovoltaic power, fluctuation classification is applied to forecast power before the day, and weather is divided into complex fluctuation types and simple types. Then, parallel factor algorithm is used to reduce prediction model redundancy, which can reduce high-dimensional numerical weather prediction feature matrix to extract relevant features. Finally, the Long Short-Term Memory (LSTM) deep learning model is used to forecast very short-term photovoltaic power. The proposed hybrid model is compared with other methods, and photovoltaic data from several sites are selected for comparison and validation in this paper. Simulation results show that very short-term prediction method of photovoltaic power proposed in this paper can significantly improve prediction accuracy.

关键词： Deep neural networks fluctuation classification PARAFAC photovoltaic generation very short-term forecasting

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ICEEMDAN and LSTM Spindle System Fault Diagnosis Method

ICEEMDAN and LSTM Spindle System Fault Diagnosis Method

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023

作者： Wang, Nan Wang, Hongjun Zhang, Zhuangzhuang Chen, Baisheng School of Mechanic and Electric Engineering BISTU Beijing100192 China Key Laboratory of Modern Measurement and Control Technology BISTU Beijing100192 China

ISBN: (纸本)9783031494123

Research on fault diagnosis of rotating machinery is crucial as it serves as a core component. In order to diagnose spindle system fault types quickly and accurately, Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) and Long Short-Term Memory (LSTM) fault diagnosis method is presented. Firstly, collect the fault vibration, then ICEEMDAN is used for vibration signals to extract seven times domain features and four frequency domain features. Finally, the time domain and frequency domain features’ parameters are input into the LSTM network for fault classification. The method is verified for the practical industrial CNC machine center spindle system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Empirical mode decomposition

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Effect of applied electric fields on supralinear dendritic integration of interneuron

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Chinese Physics B 2024年第2期33卷 84-95页

作者：樊亚琴魏熙乐卢梅丽伊国胜 Tianjin Key Laboratory of Process Measurement and Control School of Electrical and Information EngineeringTianjin UniversityTianjin 300072China School of Information Technology Engineering Tianjin University of Technology and EducationTianjin 300222China

Evidences show that electric fields(EFs)induced by the magnetic stimulation could modulates brain activities by regulating the excitability of GABAergic ***,it is still unclear how and why the EF-induced polarization affects the interneuron response as the interneuron receives NMDA synaptic *** the key role of NMDA receptor-mediated supralinear dendritic integration in neuronal computations,we suppose that the applied EFs could functionally modulate interneurons’response via regulating dendritic *** first,we build a simplified multi-dendritic circuit model with inhomogeneous extracellular potentials,which characterizes the relationship among EF-induced spatial polarizations,dendritic integration,and somatic *** performing model-based singular perturbation analysis,it is found that the equilibrium point of fast subsystem can be used to asymptotically depict the subthreshold input–output(sI/O)relationship of dendritic *** predicted that EF-induced strong depolarizations on the distal dendrites reduce the dendritic saturation output by reducing driving force of synaptic input,and it shifts the steep change of sI/O curve left by reducing stimulation threshold of triggering NMDA ***,the EF modulation prefers the global dendritic integration with asymmetric scatter distribution of NMDA ***,we identify the respective contribution of EF-regulated dendritic integration and EF-induced somatic polarization to an action potential generation and find that they have an antagonistic effect on AP generation due to the varied NMDA spike threshold under EF stimulation.

关键词： GABAergic interneuron electrical field supralinear dendritic integration action potential generation

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measurement AND control OF TEMPERATURE CHARACTERISTICS OF PIEZOELECTRIC COMPOSITES 10

MEASUREMENT AND CONTROL OF TEMPERATURE CHARACTERISTICS OF PI...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Zhao, Hanqing Liao, Qingwei Li, Yinghao Bai, Zhiqi Wang, Likun Zhong, Chao Qin, Lei Key Laboratory of Sensors Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University Beijing100192 China

ISBN: (纸本)9781837242672

Type 1-3 piezoelectric composite vibrators are commonly used in hydroacoustic detection, nondestructive flaw detection and medical ultrasound due to their high electromechanical characteristics and high stability. The temperature stability of piezoelectric composites is one of the key issues in the design of piezoelectric composites due to the large difference in the temperature characteristics of the polymer and piezoelectric ceramic phases, and the research on the testing method of the temperature deformation of piezoelectric composite oscillators can provide a reliable basis for the screening of piezoelectric composite oscillators for transducers, and promote the improvement of the piezoelectric composite oscillator design and preparation process, which has great significance for the performance enhancement of the transducer and the sonar system. It is of great significance for the improvement of transducer and sonar system performance. In this paper, the temperature characteristics of six piezoelectric composites with different polymer phases are compared, and the results show that the 9110B and 9110W silicone piezoelectric composites have better temperature stability. The relative change in frequency constant of 9110B silicone piezoelectric composite is 0.12 and the relative change in dielectric constant is 2.29 under the variable temperature environment from 25 °C to 120 °C. © The Institution of Engineering & technology 2024.

关键词： Silicones

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PREPARATION OF PVDF FILMS BY ELECTROSPINNING AND THEIR APPLICATION IN A HUMAN POSTURE RECOGNITION SYSTEM 10

PREPARATION OF PVDF FILMS BY ELECTROSPINNING AND THEIR APPLI...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Lu, Dinghong Gao, Guowei Lu, Zhongxiao Hu, Jingfang Li, Yansheng Beijing Key Laboratory of Sensor Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

This study prepared polyvinylidene fluoride/zinc oxide (PVDF/ZnO) piezoelectric films using electrospinning. The films were characterized using scanning electron microscopy (SEM) and X-ray diffraction (XRD), and their performance was tested to determine the optimal ZnO doping ratio of 15 wt%. Sensor sensitive elements were created using screen printing, and a non-array sensor layout was designed, resulting in a tactile sensor cushion. A pressure data acquisition system was developed using a microcontroller to collect sitting posture data. A posture recognition system was built using a support vector machine (SVM) classification algorithm, achieving a recognition accuracy of 88.33% with different kernel functions. Finally, the pressure distribution on the sensor array was displayed through a graphical interface. © The Institution of Engineering & technology 2024.

关键词： Piezoelectricity

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PREPARATION OF TRIBOELECTRIC FLEXIBLE SENSOR AND ITS APPLICATION IN PULSE DETECTION 10

PREPARATION OF TRIBOELECTRIC FLEXIBLE SENSOR AND ITS APPLICA...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Zhang, Longfei Gao, Guowei Zhang, Mingrui Li, Yangsheng Hu, Jingfang Beijing Key Laboratory of Sensor Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

The PDMS/GO composite film with porous structure was successfully prepared by sacrificial template method. The output performance test and morphology characterization analysis of composite films with different sacrificial particle sizes, different thicknesses and different mass fractions of graphene oxide (GO) were carried out. The optimal particle size and thickness were 63 ~ 75 μm and 3 mm, respectively, and the optimal doping ratio was 10wt %, and the triboelectric flexible sensor array was prepared. Design signal conversion circuit, power module, reset circuit, gating circuit, and upload to the host computer to process data and display. In the process of pulse signal acquisition, five groups of pulse data were collected from four students, and the collected data were analyzed and compared. The experimental results show that the five groups of pulse data of each student are almost consistent, and the influence of the subjects ' breathing and other subtle factors during the test will lead to different test results. Through the overall analysis, the overall difference value of the data is small, and the maximum difference is within0.15V. It shows that the sensor performs well in terms of sensitivity and repeatability. © The Institution of Engineering & technology 2024.

关键词： Surface discharges

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