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A DFT-Based Approach for Condition Monitoring of Switch-Mode Power Converters 65

A DFT-Based Approach for Condition Monitoring of Switch-Mode...

65th IEEE Annual International Scientific Conference on Power and Electrical engineering of Riga Technical University, RTUCON 2024

作者： Kutt, Lauri Tiivel, Tuuli Parker, Martin Valgur, Laur Jarkovoi, Marek Chub, Andrii Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9798350365771

Modern AC power supplies are emitting conducted spurious noise during their operation. This inherent noise has been seen to provide interference as its intensity can often asrise due to aging of the electronic components. For example, bulk storage capacitor in the power supplies is one of the common failure points. In this paper attention is paid to the early warning signatures related to the bulk capacitor aging. The conducted EMI emission characteristics and the dynamics of the EMI levels and parametrics is used to provide an indication on the health state of the capacitor. Discussion is presented on the efficient diagnostic tools and options to detect the EMI emission pattern describing capacitor potential upcoming failures © 2024 IEEE.

关键词： Capacitor bank

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Topology Optimization and Additive Manufacturing of a Loudspeaker Soft Magnetic Core

Topology Optimization and Additive Manufacturing of a Loudsp...

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2024 International Conference on Electrical and Computer engineering Researches, ICECER 2024

作者： Sarap, Martin Partel, Marcus Kallaste, Ants Tiismus, Hans Vaimann, Toomas Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9798331539733

The advancement of metal additive manufacturing (AM) technologies has enabled the creation of complex geometries for various applications. This paper explores the development of a topology optimized and additively manufactured soft magnetic core for dynamic loudspeakers. By leveraging the synergistic capabilities of topology optimization (TO) and AM, we designed and fabricated a novel loudspeaker core with optimized material utilization. The paper details the modeling, optimization, manufacturing, and initial performance evaluation of the AM loudspeaker core. © 2024 IEEE.

关键词： Loudspeakers

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Self-supported copper-based gas diffusion electrodes improve the local CO_(2)concentration for efficient electrochemical CO_(2)reduction

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Frontiers of Chemical Science and engineering 2024年第3期18卷 51-62页

作者： Azeem Mustafa Bachirou Guene Lougou Yong Shuai Zhijiang Wang Haseeb-ur-Rehman Samia Razzaq Wei Wang Ruming Pan Jiupeng Zhao Key Laboratory of Aerospace Thermophysics of MIIT Harbin Institute of TechnologyHarbin150001China School of Energy Science and Engineering Harbin Institute of TechnologyHarbin150001China MIIT Key Laboratory of Critical Materials Technology for New Energy Conversion and Storage School of Chemistry and Chemical EngineeringHarbin Institute of TechnologyHarbin150001China Mechanical Engineering Department University of Engineering and TechnologyTaxila47050Pakistan School of Aerospace Mechanical and Mechatronics EngineeringUniversity of SydneySydney2006Australia

Electrochemical CO_(2)reduction is a sustainable approach in green chemistry that enables the production of valuable chemicals and fuels while mitigating the environmental impact associated with CO_(2)*** its several advantages,this technology suffers from an intrinsically low CO_(2)solubility in aqueous solutions,resulting in a lower local CO_(2)concentration near the electrode,which yields lower current densities and restricts product *** diffusion electrodes(GDEs),particularly those with tubular architectures,can solve these issues by increasing the local CO_(2)concentration and triple-phase interface,providing abundant electroactive sites to achieve superior reaction *** this study,robust and self-supported Cu flow-through gas diffusion electrodes(FTGDEs)were synthesized for efficient formate production via electrochemical CO_(2)*** were further compared with traditional Cu electrodes,and it was found that higher local CO_(2)concentration due to improved mass transfer,the abundant surface area available for the generation of the triple-phase interface,and the porous structure of Cu FTGDEs enabled high formate Faradaic efficiency(76%)and current density(265 mA¸cm^(−2))at–0.9 V *** hydrogen electrode(RHE)in 0.5 mol·L^(−1)*** combined phase inversion and calcination process of the Cu FTGDEs helped maintain a stable operation for several *** catalytic performance of the Cu FTGDEs was further investigated in a non-gas diffusion configuration to demonstrate the impact of local gas concentration on the activity and performance of electrochemical CO_(2)*** study demonstrates the potential of flow-through gas-diffusion electrodes to enhance reaction kinetics for the highly efficient and selective reduction of CO_(2),offering promising applications in sustainable electrochemical processes.

关键词： CO_(2)electroreduction flow-through delivery hollow fiber structure local concentration formate

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Design and Development of Tapioca Harvesting Machine

Design and Development of Tapioca Harvesting Machine

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2024 International Conference on Integration of Emerging Technologies for the Digital World, ICIETDW 2024

作者： Vimal Kumar, M.N. Gokul, S. Jayandar, B.S. Raj J, Mohan Lokesh, K. Sona College of Technology Department of Mechatronics Engineering Tamil Nadu Salem India

ISBN: (纸本)9798331541170

Traditionally, tapioca harvesting has been manual, requiring 22-40 man-days per hectare and costing 10,000-15,000 per day. This labor-intensive process burdens farmers, who often receive poor returns from industries like sago manufacturers. An automated harvester machine is proposed to streamline harvesting, featuring a 1200 rpm roller chain saw, plow shovel, conveyor system, and 12V battery. This machine will reduce labor costs and time, offering both rental and purchase options. Low-income farmers can rent the machine, while industries can buy it. This innovation aims to reduce labor dependency, lower costs, and increase efficiency in cassava farming. By mechanizing the harvesting process, farmers can significantly reduce labor costs and the overall investment in harvesting. The machine can perform the task faster than manual labor, reducing the time required for harvesting. The machine will be available for both one-time purchase and rental, catering to different needs. A rental basis is ideal for low-income farmers who harvest every 6-7 months, making the machine accessible without a significant upfront cost. © 2024 IEEE.

关键词： DC motors

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Implementation Issues of Droop Controlled DC Nanogrids: State of Charge Management of Battery Energy Storage and Impact of Sensor Gain Tolerance 65

Implementation Issues of Droop Controlled DC Nanogrids: Stat...

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65th IEEE Annual International Scientific Conference on Power and Electrical engineering of Riga Technical University, RTUCON 2024

作者： Hasan, Sayeed Chub, Andrii Blinov, Andrei Vinnikov, Dmitri Tallinn University of Technology Department of Electrical Power Engineering and Mechatronics Tallinn Estonia

ISBN: (纸本)9798350365771

DC nanogrids are becoming more prevalent for efficient residential electrification in both rural and urban areas. Droop-controlled DC nanogrids are a viable substitute for conventional AC nanogrids owing to their advantages, such as no need for synchronization, reduced material usage, higher efficiency, and flexible operation. However, adopting fixed droop curves in a DC nanogrid has some limitations related to the practical implementation of measurements. This paper shows how these issues affect the state of charge management and energy flow control of a battery energy storage system (BESS). A framework for energy flow and BESS state of charge (SOC) management by means of online modification of droop curves is implemented based on the measured DC bus voltage and estimated SOC values. Moreover, the paper analyzes how tolerance of the embedded measurement system influences DC nanogrid operation and provides recommendations for its design. © 2024 IEEE.

关键词： State of charge

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Utilization of genetic algorithm in tuning the hyper-parameters of hybrid NN-based side-slip angle estimators

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Neural Computing and Applications 2024年第30期36卷 19055-19074页

作者： Essa, Mohamed G. Elias, Catherine M. Shehata, Omar M. Research Group Cairo Egypt Mechatronics Department Faculty of Engineering and Materials Science German University in Cairo Cairo Egypt Computer Science Department Faculty of Media Engineering and Technology German University in Cairo Cairo Egypt Mechatronics Department Faculty of Engineering Ain Shams University Cairo Cairo Egypt

This paper proposes a solution to enhance and compare different neural network (NN)-based side-slip angle estimators. The feed-forward neural networks (FFNNs), recurrent neural networks, long short-term memory units (LSTMs), and gated recurrent units are investigated. However, there is a lack in the selection criteria of the architectures’ hyper-parameters. Therefore, the genetic algorithm is integrated with the NN-based estimators to find the optimal hyper-parameters for the studied architectures. The tuned hyper-parameters in this work include the number of neurons, number of layers, activation function, optimizer type, and learning rate. The objective function of the optimization problem is minimizing the root-mean-square error (RMSE) on multiple testing data. The optimal models are further included in the design of a hybrid NN estimator with Kalman filter. In the hybrid estimators, the optimal NN estimators are used as virtual sensors to correct the prediction of the side-slip angle resulting from the mathematical lateral vehicle model. Eventually, the performance of the best selected model is evaluated in terms of different metrics;mean RMSE, mean error variance, mean training time, and mean estimation time. LSTMs are found to achieve the lowest mean RMSE while being tested on highly generalized data yielding the highest training and estimation time. However, FFNNs achieve the lowest RMSE while being tested on low generalized data and the lowest training and estimation time. Meanwhile, it is observed that the hybrid estimators achieved lower RMSE with great enhancement compared to the non-hybridized ones proving the effectiveness of the proposed approach and increasing the side-slip estimation generalization ability in unknown environments with high uncertainties, which are not covered by the training dataset for the NNs estimators. © The Author(s) 2024.

关键词： Kalman filters

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Establishment and Implement of Digital Twin Model for an Intelligent Workshop 10

Establishment and Implement of Digital Twin Model for an Int...

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10th International Conference on Industrial engineering and Applications, ICIEA 2023

作者： Guo, Chaozhong Li, Xiang Zhao, Lizhong Yan, Jihong School of Mechatronics Engineering Harbin Institute of Technology China

ISBN: (纸本)9781643684086

For multi-variety and small batches production, great challenges have been brought to production organization and management of workshops. This paper proposes an establishment and implement framework of digital twin model for intelligent workshops, which mainly consists of four layers. The production behavior and rules of production factors in the workshop are digitally established. Interconnection and communication scheme between each layer are designed and established. At the application level of the digital twin model, the Automated Guided Vehicle (AGV) intelligent scheduling algorithm based on genetic algorithm is combined with Augmented Reality (AR) technology in order to realize visual intelligent scheduling of workshop logistics. And the efficiency of logistics scheduling can be improved. The validity of the proposed framework is verified in an actual production workshop. © 2023 The authors and IOS Press.

关键词： Augmented reality

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Design and Fabrication of Road Potholes Detection Machine 5

Design and Fabrication of Road Potholes Detection Machine

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5th IEEE International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024

作者： Swathi, J. Anand, M. Dhinesh, N. Kishore, M. Tamilmanian, R. Ajay, A. Sns College of Technology Department of Mechatronics Engineering Tamil Nadu Coimbatore India

ISBN: (纸本)9798350383522

The objective of this work is to clean the streets, and college campuses. To put into practice the machine has specialized base design that is appropriate for Indian roadways. It detects potholes to avoid accidents and is very helpful for cleaning the streets. The road cleaning machine lowers the number of cleaning personnel needed, which is also crucial for public health. This initiative is therefore quite helpful in day-to-day activity. The vacuum and scrubber on the road cleaning machine minimize cleaning time & method as simple as possible. As compared to current methods, this machine performs well overall. Although many different machines are employed for this purpose, our work focus on two primary goals i.e., cleaning and pothole detection. A customized base designed machine is needed in India because it needs a broader base of vehicle to travel effectively. The major goal of the work is to clean the road with limited human assistance and detect the pothole from street roads to prevent from accidents. There are some features that are included in this project like vacuum cleaner and sweeper. The overall work is operated by ESP32 Micro Controller and obstacle detectors are also included to create a system with little effort and high efficiency. © 2024 IEEE.

关键词： ESP32 Micro Controller Obstacle Detection Photo Electric Sensors Pothole Detection Road Cleaning Machine Vacuum

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Automated PCB Defect Identification System using Machine Learning Techniques 2

Automated PCB Defect Identification System using Machine Lea...

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2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2023

作者： Raffik, R. Sabitha, B. Arunprasanth, D. Karthikeyan, E. Padmanaaban, A.G. Prasanth, V. Sai Kumaraguru College of Technology Mechatronics Engineering Coimbatore India

ISBN: (纸本)9798350306811

Printed Circuit Boards are mostly seen in all electronic products in daily life. PCBs are easily rejected due to different kinds of defects that slow down the manufacturing process. Defects like spurs, shorts, pinholes, and mouse bites cause issues like leakage of current and open circuits, which affects the performance of PCB. PCB manufacturers must give their utmost priority to delivering defect-free products to remain in the market among various competitors and to meet customer satisfaction. PCB analysts are employed in every industry to ensure that the defects are kept to a minimum or negligible level. But manual inspection of PCB defects is really very challenging, time-consuming, and an unreliable process. There are many defects to detect, which are extremely low tolerance for errors, and significant experience is required to reliably recognize and handle such flawed units. An automated solution for detecting and classifying defects in PCBs is in great demand. Automated defect detectors have significant roles in the quality control of PCB manufacturing sectors due to automated inspection adaptions instead of manual inspections. Defect recognition and individual component position detection are the major concerns in PCB inspection system design. Proper positioning of components improves the operating speed and system accuracy. In this article, a full PCB defect Detector used to automate the detection and classifying defects in printed circuit boards is discussed. It can be implemented in local PCB manufacturing industries. The proposed PCB inspection system functions with maximum accuracy in suitable illumination conditions. © 2023 IEEE.

关键词： Computer vision

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Towards electric digital twin grid: technology and framework review

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Energy and AI 2023年第1期11卷 179-195页

作者： Md.Mhamud Hussen Sifat Safwat Mukarrama Choudhury Sajal K.Das Md.Hafiz Ahamed S.M.Muyeen Md.Mehedi Hasan Md.Firoj Ali Zinat Tasneem Md.Manirul Islam Md.Robiul Islam Md.Faisal R.Badal Sarafat H.Abhi Subrata K.Sarker Prangon Das Department of Mechatronics Engineering Rajshahi University of Engineering&TechnologyRajshahi6204Bangladesh Department of Electrical Engineering Qatar UniversityDoha2713Qatar

The major hindrances in the energy system are ecological consciousness, lack of clean and sustainableenergy management, insufficient energy distribution–transmission–optimization, expensive power transfercosts, and increased customer knowledge of energy charges. Thus why, universal access to the grid with highcybersecurity, and reliability is needed to solve all these challenges. The digital twin concept turns a newdimension of technology into the world. Electric Digital Twin grid can perform online analysis of the grid inreal-time and integrates all the past and present data and express the current grid status to the producers andconsumers and also predicts the future grid status. Thus, the power grid transmission loss and location of theoverheated line and power connection missing can be detected in addition decision-making and self-healingcan possible. The future prediction saves the power grid from small to long accidents such as power outagesand even blackout problems. The whole consumers and nation feel relief from these types of accidents andsaves from large economic and business loss. The blockchain-enabled digital twin grid provides high securityfor the grid from cyberattacks. The paper conveys the framework of the electric digital twin grid and theconcept of the DT grid processing and the way of serving the producer, prosumers, consumers even the wholenation in infrastructure, education, research, economic, business, and political development.

关键词： Electric digital twin grid Online analysis of grid Cloud platform of grid Real-time grid analysis Self-healing Cybersecurity

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