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Broadband Electrical Impedance Matching of Sandwiched Piezoelectric Ultrasonic Transducers for Structural Health Monitoring of the Rail In-Service

SSRN

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SSRN 2023年

作者： Yang, Yahui Wei, Xiaoyuan Yao, Wenqing Lan, Jianping Institute of Automotive Engineers Hubei University of Automotive Technology Shiyan442002 China Department of Electrical and Information Engineering Lanzhou University of Technology Lanzhou730050 China Key Laboratory of Gansu Advanced Control for Industrial Processes Lanzhou University of Technology Lanzhou730050 China Faculty of Automation and Information Engineering Xi’an University of Technology Xi’an710048 China

To achieve high power transmission efficiency and high signal-to-noise ratio of sandwiched piezoelectric ultrasonic transducers (SPUTs) over a wide bandwidth, broadband electrical impedance matching (EIM) is investigated in-depth. Firstly, L type, T type, III type, IV type and V type EIM networks are designed and the corresponding component parameters are determined by the Smith chart with a quality factor Q constraint. Secondly, the above EIM networks are compared by reflection coefficient S11, transducer power gain (TPG) and active power. It is shown that they can effectively improve the TPG, and active power by two times and greatly reduce S11. Then the emitted voltage and received voltage under different excitation frequencies and EIM networks are analyzed. It is shown that the III type network presents optimal performance, which can make the aforementioned voltage values increase by two times over entire frequency range of interest. Finally, the effect of III type and IV type networks on electromechanical characteristics is studied by using the PSpice model of SPUTs. Compared to non-matching, the electro-acoustical gain ratio is improved almost two times, while the electro-acoustical power ratio is greatly reduced. © 2023, The Authors. All rights reserved.

关键词： Ultrasonic transducers

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Developing No-Code IIoT Platform For Small and Medium Manufacturing Plant

Developing No-Code IIoT Platform For Small and Medium Manufa...

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Logistics and Industrial engineering (ICLIE), International Conference on

作者： Ngoc-Hieu Pham Xuan-Thuyen Le Minh-Hien Le Ngoc-Huy Tran Department of Mechatronic Engineering Cao Thang Technical College (CTTC) Ho Chi Minh City Vietnam Innovation FabLab Ho Chi Minh City University of Technology (HCMUT) VNU-HCM Ho Chi Minh City Vietnam Department of Control & Automation Faculty of Electrical & Electronics Engineering Ho Chi Minh City University of Technology (HCMUT) VNU-HCM Ho Chi Minh City Vietnam

ISBN: (数字)9798331510695

ISBN: (纸本)9798331510701

This paper focuses on a No-code IIoT platform combined with a product quality prediction module for an SME. An infrastructure based on Sparkplug was built, including a self-designed IIoT gateway, an IoT server, and a web-based configuration interface. The IIoT gateway is responsible for receiving the initial configuration from the server and automatically initiating connections to the machine’s PLC at the field device layer, collecting data, and transmitting it to the server. Simultaneously, the web-based application is designed to configure the gateway and monitor the system's condition. The prediction module uses machine learning methods to accurately predict the quality of products based on a pre-existing data set. This platform demonstrates the functionality of an IIoT system by communicating with the injection molding machine and collecting real-time data. By enabling remote configuration and monitoring, the platform showcases its openness and high applicability for industrial IoT and automation needs.

关键词： Protocols Machine learning Logic gates Programming Real-time systems Manufacturing Quality assessment Servers Monitoring Industrial Internet of Things

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Mesh Geometric Parameters for Modeling Signal Transmission in the Presynaptic Bouton 19th

Mesh Geometric Parameters for Modeling Signal Transmission i...

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19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020

作者： Gierdziewicz, Maciej Chair of Applied Computer Science Faculty of Automation Electrical Engineering Computer Science and Biomedical Engineering AGH University of Science and Technology Al. Mickiewicza 30 Cracow30-059 Poland

ISBN: (纸本)9783030614003

In this paper the generation of a geometrical model for simulation of the transport process inside the bouton of the biological neuron is considered. The transport is modeled in three-dimensional space by using nonlinear diffusion-like partial differential equation. The geometry of the bouton is modeled in two ways. One of them is the geosphere and the other one is the globe. The quality of the mesh elements is examined. © 2020, Springer Nature Switzerland AG.

关键词： Mesh generation

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A Sectorized FCS-MPC Transformerless SST For Power Transmission Application

A Sectorized FCS-MPC Transformerless SST For Power Transmiss...

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European Conference on Power Electronics and Applications

作者： Gabriel Gaburro Bacheti Renner Sartório Camargo Emilio José Bueno Marco Liserre Lucas Frizera Encarnação Department of Electrical Engineering Federal University of Espirito Santo (UFES) Vitoria Brazil Department of Control and Automation Engineering Federal Institute of Espirito Santo (IFES) Serra Brazil Department of Electronics Alcalá University (UAH) Madrid Spain Chair of Power Electronics Christian-Albrechts-Universitat Kiel Germany

ISBN: (数字)9789075815399

ISBN: (纸本)9781665487009

This work proposes a sectorized optimization with Graph Theory applied in cascaded multilevel trans-formerless SST. The sectorized optimization can reduce the FCS-MPC combinational explosion due to the multiple cascaded H-bridges cells, while the proposed control is capable to avoid the prohibitive states maintaining the converter controllability and power quality.

关键词： Reactive power Windings Power quality Power transmission Transformers Prediction algorithms IEEE Standards

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Nearest-Better Network for Fitness Landscape Analysis of Continuous Optimization Problems

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IEEE Transactions on Evolutionary Computation 2024年

作者： Diao, Yiya Li, Changhe Zeng, Sanyou Yang, Shengxiang Coello, Carlos A. Coello China University of Geosciences School of Automation Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Ministry of Education Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan China Anhui University of Sciences and Technology School of Artificial Intelligence Hefei China China University of Geosciences School of Mechanical Engineering and Electronic Information Wuhan China De Montfort University School of Computer Science and Informatics LeicesterLE1 9BH United Kingdom Department of Computer Science CINVESTAV-IPN 07360 Mexico Tecnologico de Monterrey Faculty of Excellence The School of Engineering and Sciences N.L. Monterrey Mexico

Fitness landscape analysis (FLA) is quite important in evolutionary computation. In this paper, we propose a novel FLA method, the nearest-better network (NBN), which uses the nearest-better relationship to simplify the original fitness landscape of continuous optimization problems. We introduce an efficient algorithm to calculate NBN for continuous problems. We also propose four numerical measurements and a 3D visualization method based on NBN. Experiments show that compared to the other main FLA methods, the four numerical measurements proposed here can effectively measure the four intended features: neutrality, ruggedness, modality, and basin of attraction, respectively, and common features of the fitness landscape can be maintained in 3D NBN visualization, regardless of the scale of the problem. NBN also provides a view of how algorithms search in high-dimensional problems with the help of the 3D NBN visualization. © 1997-2012 IEEE.

关键词： Optimization algorithms

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Heat Transfer Performance of the Vapor Chamber with Spiral Support Column-Composite Wick

SSRN

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SSRN 2024年

作者： Zhao, Zhengang Cai, Shuiyan Li, Bo Li, Lei Luo, Chuan Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming650500 China Yunnan Key Laboratory of Green Energy Electric Power Measurement Digitalization Control and Protection Yunnan Kunming650500 China Electric Power Research Institute of Yunnan Power Grid Co. Ltd Kunming650217 China

Inefficient heat dissipation in vapor chambers (VCs) is a major challenge for their development and application. In order to investigate the effect of support columns on maximum thermal power and thermal resistance of VCs. The relationship between the support column and the vapor channel pressure drop is studied through numerical calculations and pressure drop measurement. Composite wick vapor chambers (CWVCs) with different support columns are fabricated and tested with a constructed thermal performance test platform. The results indicate that the heat transfer performance of CWVC is related to the number of support columns and the liquid filling ratio. The optimum filling ratio of the composite wick with3~6 spiral support columns (SSC) is 60%,70%,90%, and 70%, with corresponding maximum thermal power of 19.25W,25.61W,25.97W, and 21.22W. In the SSC-CWVC, the thermal resistance of SSC4-CWVC is lower overall. Additionally, when the power is 21W, the surface temperature difference of the condensation section of SSC3-CWVC and SSC6-CWVC is 2.3℃and 1.3℃, respectively. However, the difference in surface temperature of the condensation section of SSC4-CWVC at the same power is 66.5% and 40.8% lower than that of SSC3-CWVC and SSC6-CWVC, respectively. Therefore, SSC4-CWVC exhibits better temperature uniformity and has better heat transfer performance. © 2024, The Authors. All rights reserved.

关键词： Drops

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Research of the Information Security Audit System in Organizations

Research of the Information Security Audit System in Organiz...

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Smart Information Systems and Technologies (SIST), IEEE International Conference on

作者： Aasso Ziro Shara Toibayeva Sergiy Gnatyuk Azamat Imanbayev Maksim Iavich Zhanshuak Zhaybergenova Faculty of IT School of IT and Engineering KazNU named after al-Farabi Kazakh-British Technical University Almaty Kazakhstan Department of Automation and Control University of Power Engineering and Telecommunications (AUPET) named after G. Daukeev Almaty Kazakhstan Faculty of Copmuter Science and Technologies National Aviation University Kyiv Ukraine Faculty of IT School of IT and Engineering KazNU named after al-Farabi Kazakh-British Technical University Almaty Kazakhstan School of technology Caucasus University Tbilisi Georgia Department of intelegent systems and cybersecurity Astana IT University Astana Kazakhstan

The field of information security is constantly evolving, and new threats appear every day. To ensure that organizations remain protected from these threats, it is important to have a reliable information security audit system. The purpose of this study is to study the current state of information security audit systems in organizations and identify the best practices for the implementation and maintenance of these systems. In the course of the study, various methods and methods of conducting an information security audit will be analyzed, security analysis tools and information security tools.

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Application of Rna Genetic Algorithm Based on Gradient Descent in Function Optimization and engineering Optimization

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SSRN 2023年

作者： Wu, Qiuxuan Chen, Mingming Zhao, Zikai Chi, Xiaoni Luo, Yanbin Zeng, Pingliang Zhang, Botao Wang, Jian Zhilenkov, Anton A. Chepinski, Sergey A. Institute of Electrical Engineering School of Automation Hangzhou Dianzi University Hangzhou China HDU-ITMO Joint Institute Hangzhou Dianzi University Hangzhou China Institute of Hydrodynamics and Control Processes Saint-Petersburg State Marine Technical University Saint Petersburg Russia Faculty of Control Systems and Robotics ITMO University Saint Petersburg Russia

In engineering optimization problems, most are function optimization problems. RNA genetic algorithmhas apparent advantages in function optimization but has low accuracy and is easy to fall into local *** paper proposes an RNA genetic algorithm based on gradient descent. Gradient descent is used as amutation operator to improve the local development ability of the algorithm. Inspired by the inner-loopstructure of RNA molecules, we designed an inner-loop crossover operator and an inner-loop mutationoperator to improve the global exploration ability of the algorithm in the early stage of evolution and theability to jump out of the local extremum. The algorithm uses an RNA genetic algorithm to find individualsnear the optimal region in the pre-evolutionary stage and performs gradient descent variation on theseindividuals in the post-evolutionary stage to improve the quality of the solution. In addition, this algorithmuses the adaptive gradient descent method to alleviate the oscillation in the gradient descent process anduses the niche punishment method to deal with complex constraints. The algorithm is tested on 17benchmark functions and compared with other optimization algorithms, indicating that the algorithm hasbetter performance. Finally, Adam RNA-GA is used to solve four engineering design problems, and theresults obtained show that the algorithm has high solution accuracy. © 2023, The Authors. All rights reserved.

关键词： Genetic algorithms

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Distributed Event-Triggered Bandit Convex Optimization with Time-Varying Constraints

arXiv

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arXiv 2024年

作者： Zhang, Kunpeng Yi, Xinlei Wen, Guanghui Cao, Ming Johansson, Karl H. Chai, Tianyou Yang, Tao The State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang110819 China The Laboratory for Information and Decision Systems Massachusetts Institute of Technology CambridgeMA02139 United States The Department of Mathematics Southeast University Nanjing210096 China The Engineering and Technology Institute Groningen Faculty of Science and Engineering University of Groningen GroningenAG 9747 Netherlands Division of Decision and Control Systems School of Electrical Engineering and Computer Science KTH Royal Institute of Technology Sweden Digital Futures Stockholm10044 Sweden

This paper considers the distributed bandit convex optimization problem with time-varying inequality constraints over a network of agents, where the goal is to minimize network regret and cumulative constraint violation. Existing distributed online algorithms require that each agent broadcasts its decision to its neighbors at each iteration. To better utilize the limited communication resources, we propose a distributed event-triggered online primal-dual algorithm with two-point bandit feedback. Under several classes of appropriately chosen decreasing parameter sequences and non-increasing event-triggered threshold sequences, we establish dynamic network regret and network cumulative constraint violation bounds. These bounds are comparable to the results achieved by distributed event-triggered online algorithms with full-information feedback. Finally, a numerical example is provided to verify the theoretical results. Copyright © 2024, The Authors. All rights reserved.

关键词： Convex optimization

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Moment-based dissipative observer design for cell population balance models ⁎

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IFAC-PapersOnLine 2021年第3期54卷 433-438页

作者： A. Schaum P. Jerono T. Meurer J.A. Moreno Chair of Automatic Control Faculty of Engineering Kiel University Kiel Germany Instituto de Ingenieria Universidad Nacional de Mexico (UNAM) Mexico-City Mexico

A dissipativity-based observer design for a class of cell population balance models is presented and evaluated using experimental data. The population balance model is described by a partial integro-differential equation coupled with an ordinary differential equation for a batch bioreactor with biomass measurement via an optical density sensor. The dissipative observer is proven to exponentially converge in the first moment of the cell size distribution and the substrate concentration in the absence of modeling and measurement errors. The theoretical results are evaluated using experimental data from a 2 liter lab-scale reactor for anaerobic yeast fermentation on glucose using nitrogen gas supply, showing a good performance of the dissipativity-based estimation scheme.

关键词： Cell population balance models dissipative observer design Lyapunov’s direct method moments of a distribution

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