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Design of Transformer Health Monitoring System Using Tensor Flow Architecture 5

Design of Transformer Health Monitoring System Using Tensor ...

引用

5th international conference on IoT Based control Networks and Intelligent Systems, ICICNIS 2024

作者： Mahiban Lindsay, N. Abdul Nawas, K. Hindustan Institute of Technology and Science Department of Electrical & Electronics Engineering Chennai India

ISBN: (数字)9798331518097

ISBN: (纸本)9798331518097

Ensuring the health of transformers is crucial for maintaining the reliability and longevity of electrical power distribution systems. This paper introduces an innovative approach that leverages edge computing architecture for real-time transformer health monitoring, with a particular focus on oil color detection, a critical indicator of transformer insulation and degradation. The system employs an ESP32 microcontroller to capture oil color images directly from the transformer's vicinity, enabling rapid data acquisition with minimal latency. Using TensorFlow, a deep learning framework, an efficient model is developed to analyze these images and accurately assess the condition of the transformer oil based on its color. This real-time analysis enables the early identification of potential problems, allowing for proactive maintenance and helping to avoid expensive breakdowns. By utilizing edge computing, the computational burden is shifted from centralized servers to edge devices, enhancing scalability, reducing network congestion, and ensuring prompt decision-making. This decentralized approach not only reduces the reliance on continuous internet connectivity but also provides robust performance even in remote locations. The proposed system deals a cost-effective, efficient, and scalable solution for transformer health monitoring, significantly contributing to enhanced reliability and reduced downtime in electrical power distribution networks. The integration of machine learning algorithms for image analysis underscores the potential of combining cutting-edge technologies to improve the monitoring and maintenance of critical infrastructure. This approach paves the way for future advancements in the field, highlighting the importance of real-time data processing and analysis in maintaining the integrity of power systems. © 2024 IEEE.

关键词： Endocrinology

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electrical Resilience for the End-User: Strategies Based on Power Electronics Converters

Electrical Resilience for the End-User: Strategies Based on ...

引用

international conference on electrical engineering, computing science and automatic control (CCE)

作者： Juan Gonzalez-Rivera Victor Cardenas Ricardo Alvarez-Salas Fernando Quiroz-Vazquez Ana Rivera-Rivera Engineering Department Autonomous University of San Luis Potosí San Luis Potosí México

Electric resilience has emerged as a critical issue in response to the growing number of threats that can disrupt the reliable operation of the electrical system. From the increasing frequency of natural disasters to the projected vulnerabilities of advanced automated systems, numerous challenges must be addressed. This article provides a comprehensive review of proposed strategies designed to enhance electric resilience, with particular emphasis on evaluating the impacts on end-users. These strategies propose solutions based on power electronic converters, which play a critical role in enhancing the flexibility, reliability, and efficiency of the electrical system. By analyzing these systems, valuable insights can be extracted regarding the measures and solutions that should be considered to effectively address this critical aspect of the electrical system. By leveraging the capabilities of power electronic converters the system operators, and other stakeholders can develop robust strategies to mitigate risks, ensure reliable power supply, and improve overall electric resilience.

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Research on Geospatial Object Recognition Algorithm in Power Transmission and Transformation engineering Based on FIseg-YOLO 1

引用

8th international conference on Life System Modeling and Simulation, LSMS 2024 and 8th international conference on Intelligent computing for Sustainable Energy and Environment, ICSEE 2024

作者： Ouyang, Peng Pi, Yufei Zhang, Pengcheng Zhang, Kun School of Electrical Engineering and Automation Nantong University Nantong China Nantong Key Laboratory of Intelligent Control and Intelligent Computing Nantong Institute of Technology Jiangsu Nantong China

ISBN: (数字)9789819603138

ISBN: (纸本)9789819603121

The preliminary work of power transmission and transformation engineering design tasks relies on the precise survey of terrain to ensure the high-quality completion of design tasks. Therefore, developing a technology that can accurately and efficiently survey the construction area has become a hot topic in the field of electrical design research. However, identifying the location and precise boundaries of geospatial targets of different scales and densities from high-resolution natural environment images captured by drones remains a challenge. To address this issue, we improved upon the YOLOv8 algorithm by incorporating the concept of the YOLACT algorithm, proposing a novel instance segmentation algorithm—FIseg-YOLO, specifically designed for recognizing geospatial targets in power transmission and transformation line projects. This algorithm integrates various attention mechanism modules in the backbone network, effectively improving the accuracy of target recognition against complex backgrounds. Simultaneously, we optimized the neck network structure by enhancing the multi-path fusion of the network, achieving multi-level feature fusion between different layers. Additionally, the algorithm adds a multi-scale detection head to the basic network structure to extract shallow information from the input image and combine it with the feature fusion network to detect objects across a broader scale. Experimental validation on the geospatial orthophoto dataset shows that the mAP@.5 of the FIseg-YOLO model reached 67.3%, a 6.6% increase compared to the YOLOv8 base model, indicating a significant improvement in model performance. This improvement is of great significance for enhancing the efficiency of preliminary survey tasks in power transmission and transformation engineering. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Deep learning

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Deploying large private clouds for high availatibily services 24

Deploying large private clouds for high availatibily service...

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24th international conference on control Systems and Computer science, CSCS 2023

作者： Weisz, Sergiu Nastase, Vlad-Iulius Mihailescu, Maria-Elena Mihai, Darius Tapus, Nicolae University Politehnica of Bucharest Faculty of Automatic Control and Computers Splaiul Independenţei 313 Bucharest060042 Romania

ISBN: (纸本)9798350313390

In a world where the price of both close-to-home computing such as workstations, GPUs and CPUs, and public cloud infrastructures is increasing, we need to explore a way in which we can deploy private, cost effective cloud infrastructures that can be used for institutions such as research centers and universities. One such private cloud infrastructure provider is OpenStack, a well rounded and modular private cloud system which allows users to manage virtual machines in the same way as a public cloud provider, such as AWS or Google *** paper explores how an institution can deploy a private cloud solution inside of their existing infrastructure which can provide support for both their users running virtual machines, but also for administrators to migrate their services to a cost-effective highly available infrastructure. © 2023 IEEE.

关键词： Virtual machine

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Research on Voltage Reactive Power control of Distributed PV Which Access to Distribution Network 5

Research on Voltage Reactive Power Control of Distributed PV...

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5th IEEE international conference on Power, Intelligent computing and Systems, ICPICS 2023

作者： Sun, Dong Liu, Haiyang Lv, Yue Liu, Sen Gao, Zichen Liu, Qi Gao, Jinyu Tonghua Power Supply Company of Jilin Province Electric Power Co. Tonghua China

ISBN: (纸本)9798350333442

Considering that distributed photovoltaic power stations connect to low voltage distribution network in situ. Small capacity of distributed photovoltaic power station access to the power grid can make voltage fluctuate when the photovoltaic array is affected by the illumination. In order to improve the voltage quality of the grid-connected point, from the perspective of hierarchical control, this paper uses SCADA to mark the collected electrical parameters as the pre-correction parameters, and the integrated control strategy is used to adjust the step-up transformer tap and the reactive power compensation device to form the outer control, so as to obtain the post-correction electrical parameters. The post-correction electricity parameter and inverter control constitute the inner control. Through the design of filters, step-up transformer, and parameters such as reactive power compensation device, in the simulation and calculation, the results show that the hierarchical control strategy can implement the automatic control of voltage reactive power regulation, using closed-loop control of inverter for the grid current track of grid voltage, ensure that the system did not produce resonance peak, To reduce the impact of grid voltage to current at the same time make the grid voltage and current with good sine degrees. © 2023 IEEE.

关键词： Solar energy

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A Comparative Study of Power Electronics and control Techniques for Renewable Energy Integration in Smart Grids 3

A Comparative Study of Power Electronics and Control Techniq...

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3rd international conference on Pervasive computing and Social Networking, ICPCSN 2023

作者： Pareek, Shashank Kumar, Yogendra Kaur, Harpreet Kumar, Raman Chohan, Jasgurpreet Singh Chandigarh University Department of Computer Science and Engineering Mohali140413 India Gla University Department of Electrical Engineering Mathura281406 India Gulzar Group of Institutes Computer Science and Engineering Department Khanna141401 India Chandigarh University Department of Mechanical Engineering Mohali140413 India University Centre for Research and Development Chandigarh University Mohali140413 India

ISBN: (纸本)9798350322842

The development of smart grid technology for more effective and sustainable energy management has been prompted by the growing use of renewable energy sources like solar and wind power. In order to integrate renewable energy sources into the grid, power electronics and control approaches are essential. The purpose of this study is to examine the pros and cons of the various power electronics and control approaches now in use for integrating renewable energy sources into smart grids. The development of smart grid technology for more effective and sustainable energy management has been facilitated by the use of renewable energy sources like solar and wind power. When it comes to incorporating renewable energy sources into the grid, power electronics and control approaches play a crucial role. This article provides a comprehensive analysis of the literature on the topic of renewable energy integration in smart grids, with a particular focus on power electronics and control strategies. The study is based on a review of relevant literature and an analysis of the benefits and drawbacks of each method. Efficiency, dependability, cost-effectiveness, scalability, and compatibility with various renewable energy sources are some of the characteristics included in the comparison study. The research shows that each method has advantages and disadvantages, and that the choice of method is context-specific. The work has significant significance for the field of electrical and computer engineering and aids in the development of more efficient and sustainable energy management systems for the future smart grid. © 2023 IEEE.

关键词： Wind power

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Utilizing Machine Vision for Steerable Robotic control 5th

Utilizing Machine Vision for Steerable Robotic Control

引用

5th international conference on Data science, Machine Learning and Applications, ICDSMLA 2023

作者： Agarwal, Trapty Kavitha, R. Verma, Sunny Sasi, Archana Maharishi School of Engineering & Technology Maharishi University of Information Technology Uttar Pradesh Lucknow India Karnataka Bangalore India Department of Electronic & Communication Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Navgaon Manduwala Dehradun India School of Computer Science and Engineering Presidency University Karnataka Bengaluru India

ISBN: (纸本)9789819780426

This paper describes the design and implementation of a steerable robot control device making use of machine imaginative and prescient. The machine consists of a robot car ready with a 3-d digital camera, a show and a manipulate panel. The camera captures 3-d intensity pix of the surroundings and the manage panel lets in the consumer to output instructions that manipulate the motion of the auto. The vision module of the system uses a Convolutional Neural community (CNN) to discover objects inside the environment and small variations in elevation and assign distinct that means to them. This facts is then utilized by the control module to formulate the commands in step with the person’s commands, which then get sent to the car’s pressure device. The system additionally uses an optimization set of rules to help become aware of most beneficial paths thru the environment and avoid limitations. Eventually, the gadget can be used to monitor the automobiles positioning within the surroundings permitting the user to benefit information which include the place, orientation and pace of the automobile. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Digital cameras

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A Novel Method to Analyze Input-Output controllability 18

A Novel Method to Analyze Input-Output Controllability

引用

18th international conference on electrical engineering, computing science and automatic control (CCE)

作者： Ibrahim, Muhammad Hameed, Imran Univ Engn & Technol Dept Elect Engn Faisalabad Campus Lahore Pakistan Hong Kong Polytech Univ Dept Mech Engn Hung Hom Hong Kong Peoples R China

ISBN: (纸本)9781665400299

The proposed algorithm in this research paper leads to an approach through which the input-output controllability of a plant model can be predicted successfully beforehand if it is scaled efficiently according to a normalized behavior. In the industrial applications, it is extremely important to make sure that the inputs and outputs of a plant model are realizable not only with the limitations imposed mostly by the system's devices but also by its circuitry and programming. The motivation behind choosing this method is that the classical control fails to precisely assess the systems. The goal is to extract a threshold value based on the controllability Gramian characteristic. According to a defined controllability criterion, any value which would be less than the proposed threshold value would translate into the fact that the plant is not practically controllable. The Glover-McFarlane loop shaping technique is implemented for a multitude of multi-input multi-output systems.

关键词： input-output controllability H-infinity controller scaling controllability Gramian multivariable control MIMO

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Outage Analysis of Multiple IRS-aided Cooperative NOMA System 15

Outage Analysis of Multiple IRS-aided Cooperative NOMA Syste...

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15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Murugadass, Arthi Kumaravelu, Vinoth Babu Kennedy, Helen Sheeba John Anjana, B.S. Dipinkrishnan, R. Bilim, Mehmet Vellore Institute of Technology School of Computer Science and Engineering Chennai India Vellore Institute of Technology School of Electronics Engineering Department of Communication Engineering Vellore India Nuh Naci Yazgan University Department of Electrical and Electronics Engineering Kayseri Turkey

ISBN: (纸本)9798350370249

The traditional cooperative non-orthogonal multiple access (CNOMA) technique improves the outage and data rate performance for cell-edge users, albeit at the expense of near users. Due to the ability to control the propagation environment, introducing intelligent reflective surfaces (IRS) into a multi-user network can reduce costs, signal processing complexity, and energy consumption. In this work, a comprehensive downlink framework for a blind-IRS-supported CNOMA system is established to enhance outage performance for both cell-edge and near users. The closed-form analytical expressions for the outage probability of the near and cell-edge users within this proposed system are derived. Furthermore, these analytical expressions are validated through Monte-Carlo simulations. The cell-edge user of our proposed model outperforms traditional NOMA and IRS-assisted NOMA variants. To achieve a target outage probability of 10-3, our proposed system requires ∼ 4 dB lower signal-to-noise ratio (SNR) compared to other IRS-assisted NOMA variants. © 2024 IEEE.

关键词： Image coding

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Spiking Neural Network-based control Applied to an Underactuated System

Spiking Neural Network-based Control Applied to an Underactu...

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international conference on electrical engineering, computing science and automatic control (CCE)

作者： Omar A. García A. Diego Chavez Arana Eduardo S. Espinoza Luis Rodolfo García Carrillo Antonio Osorio Cordero Andrew T. Sornborger UMI-LAFMIA CINVESTAV Mexico City Mexico Electrical and Computer Engineering New Mexico State University New Mexico USA UMI-LAFMIA CONAHCYT-CINVESTAV Mexico City Mexico Information Sciences CCS-3 Los Alamos National Laboratory Los Alamos NM USA

This paper presents the problem of stabilizing an underactuated system, the Ball and Plate platform, by means of a neuromorphic-inspired control. The proposed architecture makes use of Spiking Neural Networks (SNNs) in combination with the Neural engineering Framework (NEF) to accomplish regularization and trajectory tracking. Simulation results for both the proposed SNN controller and its conventional (non-neural) counterpart are presented and qualitatively compared. The results show that the SNN controller effectively tracks a desired trajectory with minimal tracking errors. The practical considerations for implementing a fully neuromorphic real-time application of the proposed approach are discussed as well.

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