检索结果-内蒙古大学图书馆

Distribution Management Systems for Smart Grid:Architecture,Work Flows,and Interoperability

Journal of Modern Power Systems and Clean Energy 2022年第2期10卷 300-308页

作者： Rabih A.Jabr Izudin Dzafic the Department of Electrical and Computer Engineering American University of BeirutBeirut 11072020Lebanon the Faculty of Electrical Engineering University of SarajevoSarajevo 71000Bosnia and Herzegovina

The smart grid integrates advanced sensors,a two-way communication infrastructure,and high-performance computation-based *** distribution management systems for smart grid include several functions for manipulating legacy voltage control devices and distributed energy resources through closed-loop volt/var control,leading to wide-area regulation of voltages in the presence of fluctuating *** other primary distribution network analysis application is concerned with automatic fault location and service restoration following fault events,aiming to provide the grid with autonomous intelligence for *** technologies are vital to enable the computing applications of distribution networks,whether they work in centralized or distributed *** paper presents the state of the art in distribution management system architectures and modern workflows showing data exchange,practical parallel implementations designed to handle large amounts of data,in addition to communication standards that serve as interoperability *** demystifies the relationship between different functions developed independently by power system researchers and shows their operation as a complete system,thus placing them in a better context for future research and development.

关键词： Cyber security data communication power distribution networks self-healing software architecture voltage control.

来源：评论

学校读者我要写书评

暂无评论

A learning-based approach to fault detection and fault-tolerant control of permanent magnet DC motors

引用

Journal of engineering and Applied Science 2023年第1期70卷 109页

作者： Sardashti, Abolghasem Nazari, Jamal Department of Electrical and Computer Engineering Tarbiat Modares University Tehran Iran Faculty of Electrical Biomedical and Mechatronics Engineering Qazvin Branch Islamic Azad University Qazvin Iran

In the context of Industry 4.0, which prioritizes intelligent and efficient solutions for industrial systems, this paper introduces an innovative methodology for fault detection and fault-tolerant control of DC motors. Leveraging the capabilities of machine learning and reinforcement learning, our approach aims to achieve optimal performance while maintaining a low computational burden. At the heart of our strategy lies a reinforcement learning-enhanced proportional-integral controller meticulously designed for precise positioning of DC motors. Through extensive comparative analysis, we establish the superiority of this controller in terms of precision, efficiency, and user accessibility when compared to traditional techniques. To ensure robust fault detection, we synergize a model-based observer with Mahalanobis distance-based outlier analysis, creating a swift and accurate diagnostic method for sensor faults. In cases of sensor malfunctions, an internal model-based control strategy comes into play, enabling the system to uphold its effectiveness despite disruptions. The effectiveness of our proposed methods is vividly demonstrated through simulations in the MATLAB environment, utilizing a DC motor subjected to sensor failures. The results unequivocally highlight the advantages of our approach, showcasing improved precision, faster operation, cost-effectiveness, and streamlined simplicity. As such, our approach finds suitability for industrial applications. In our quest to strike a delicate balance between performance and complexity, our techniques are purposefully crafted to provide intelligent yet pragmatic solutions that promote reliability, safety, and sustainability. This paper contributes to the evolving landscape of intelligent industrial solutions by offering a comprehensive framework that optimizes performance while minimizing complexity and costs. In doing so, we lay the foundation for a more efficient and resilient industrial ecosystem. © 2023, faculty o

关键词： Fault detection

来源：评论

学校读者我要写书评

暂无评论

Robust graph‐based localization for industrial Internet of things in the presence of flipping ambiguities

引用

CAAI Transactions on Intelligence Technology 2023年第4期8卷 1140-1149页

作者： Mian Imtiaz ul Haq Ruhul Amin Khalil Muhannad Almutiry Ahmad Sawalmeh Tanveer Ahmad Nasir Saeed Faculty of Electrical Engineering Swedish College of Engineering and TechnologyWah CanttPakistan Department of Electrical Engineering Faculty of Electrical and Computer EngineeringUniversity of Engineering and TechnologyPeshawarPakistan Department of Electrical Engineering Remote Sensing UnitNorthern Border UniversityArarSaudi Arabia Data Science and Artificial Intelligence Department‐College of Science and Information Technology Irbid National UniversityIrbadJordan Innovation Education and Research Center for On‐Device AI Software(Bk21) Department of Computer Science and EngineeringChungnam National UniversityDaejeonRepublic of Korea Department of Electrical and Communication Engineering United Arab Emirates University(UAEU)Al AinUnited Arab Emirates

Localisation of machines in harsh Industrial Internet of Things(IIoT)environment is necessary for various ***,a novel localisation algorithm is proposed for noisy range measurements in IIoT *** position of an unknown machine device in the network is estimated using the relative distances between blind machines(BMs)and anchor machines(AMs).Moreover,a more practical and challenging scenario with the erroneous position of AM is considered,which brings additional uncertainty to the final position ***,the AMs selection algorithm for the localisation of BMs in the IIoT network is *** those AMs will participate in the localisation process,which increases the accuracy of the final location ***,the closed‐form expression of the proposed greedy successive anchorization process is derived,which prevents possible local convergence,reduces computation,and achieves Cramér‐Rao lower bound accuracy for white Gaussian measurement *** results are compared with the state‐of‐the‐art and verified through numerous simulations.

关键词： Cramér‐Rao lower bound greedy successive anchorization industrial internet of things localization

来源：评论

学校读者我要写书评

暂无评论

Parameter optimization for hovering multi-rotor drones-based free-space optical links

引用

Applied Nanoscience (Switzerland) 2023年第3期13卷 1981-1989页

作者： Mahdi, Abdullah Jameel Mazher, Wamidh Jalil Ucan, Osman Nuri Department of Electrical and Computer Engineering Engineering and Natural Sciences Faculty Altinbas University Istanbul Turkey

Multi-rotor (MR) Drones have recently emerged as a viable method for creating flexible free-space optical (FSO) connections. In this study, we look at how precise parameters optimization can be used to evaluate the benefits of using MR Drones for such nanometer links, with consideration of the combined effect of atmospheric turbulence along with pointing error factor h_p. The related parameters of h_p are the connection distance d and pointing error angle (PEA) θ. In contrast to past studies on the subject, this one increased the connection distance d between drones swarm for high values PEAs that had been got high Bit Error Rate (BER). The system consists of two channels type: Single Input–Single Output (SISO) and Multiple Input–Single Output (MISO), and was simulated using MATLAB 2020. The results showed that for PEA θ=10 ^{- 3} and 10 ^{- 2} rad, the connection distance d increased from 5 to 20 percent per one centimeter increasing in the receiver diameter D_r, and for PEA θ=10 ^{- 1} rad, the connection distance d increased few meters;therefore, it is not recommended to increase the receiver diameter D_r. © 2021, King Abdulaziz City for Science and Technology.

关键词： Bit Error Rate Healthcare system Hospitalize and healthcare Hovering Multi-Rotor Multi-rotor (MR)

来源：评论

学校读者我要写书评

暂无评论

Design of 5G Multi-Frequency Antenna Based on Multi-Objective Sequential Domain Patching

引用

Progress In Electromagnetics Research C 2024年 145卷 53-61页

作者： Zhu, Wenjian Chen, Jiayi Hu, Panshi Song, Zhi Xue, Yanbing School of Automation and Electrical Engineering Dalian Jiaotong University China School of Computer and Communication Engineering Dalian Jiaotong University Applied Basic Research Project of Liaoning Science and Technology Department Dalian116028 China

This paper introduces a 5G multi-frequency antenna design method based on multi-objective sequential domain patching. By etching helical metamaterials on radiation patches and loading asymmetric electric-inductive-capacitive metamaterials on the transmission line side, the antenna structure is designed and optimized using electromagnetic simulation software, HFSS, and MATLAB. The resulting multi-frequency antenna operates across multiple frequency bands: n1, n41, 3.5G, and 4.9G. To ensure antenna performance and radiation efficiency, the antenna multi-frequency bands are precisely controlled. The experimental results show that the error between each operating frequency band and target frequency bands of the antenna is within 7.2%. Compared with conventional antenna design methods, the use of metamaterials and intelligent algorithms to optimize the structural parameters and loading positions of metamaterials can improve antenna performance while shortening the design cycle. Overall, this research offers novel insights into the design of 5G high-performance antennas. © 2024, Electromagnetics Academy. All rights reserved.

关键词： Metamaterials

来源：评论

学校读者我要写书评

暂无评论

Advanced Ensemble Learning Classifiers for Power Transformer Fault Diagnosis with Imbalanced DGA Data 25

Advanced Ensemble Learning Classifiers for Power Transformer...

引用

25th International Middle East Power System Conference, MEPCON 2024

作者： Moradi, Elahe Mahmoud, Karar Darwish, Mohamed M. F. Shahre Rey Branch Islamic Azad University Department of Electrical and Computer Engineering Tehran Iran Aswan University Faculty of Engineering Department of Electrical Engineering Aswan81542 Egypt Benha University Faculty of Engineering at Shoubra Department of Electrical Engineering Cairo11629 Egypt

ISBN: (纸本)9798350379648

Power transformers play a vital role in the reliability and functionality of power systems. In recent years, the growing complexity of power transformer fault diagnosis has driven the widespread adoption of machine learning classifiers. This paper explores the application of tree-based machine learning algorithms, including Decision Tree, AdaBoost, and CatBoost, to diagnose power transformer faults using Dissolved Gas Analysis (DGA) data, normalized via standard scaling. Specifically, the Duval Pentagon Method (DPM) is utilized as a fault classification tool. One of the key challenges addressed in this study is the inherent imbalance in DGA datasets, which is tackled effectively through the application of robust tree-based models. A comprehensive comparative analysis of these algorithms is performed, with their performance evaluated based on metrics such as accuracy, precision, F1-score, area under the curve (AUC), receiver operating characteristic (ROC) curve, and confusion matrix. The simulation results, obtained using Python, reveal that the CatBoost algorithm significantly outperforms its counterparts, achieving an impressive accuracy of 96.78%, F1-score of 96.78%, precision of 96.81%, and AUC of 99.79%. These findings highlight the effectiveness of CatBoost in handling imbalanced data and providing precise fault diagnosis, contributing to improved decision-making processes in power system maintenance and reliability management. © 2024 IEEE.

关键词： Distribution transformers

来源：评论

学校读者我要写书评

暂无评论

Design of an Electronically Controlled Biquadratic Filter Using Commercial ICs 13

Design of an Electronically Controlled Biquadratic Filter Us...

引用

13th International electrical engineering Congress, iEECON 2025

作者： Ritnathikul, Somkid Duangmalai, Danupat Kaewdang, Khanittha Kwuanphet, Settasuk Chalermpong, Thanawat Pitaksuttayaprot, Koson Phetchabun Rajabhat University Faculty of Agricultural and IndustrialTechnology Department of Computer Engineering Phetchabun6700 Thailand Ubon Ratchathani University Faculty of Engineering Department of Electrical and Electronic Engineering Ubon Ratchathani34190 Thailand Nakhon Phanom University Faculty of Industrial Technology Department of Electrical Engineering Nakhon Phanom48000 Thailand Phetchabun Rajabhat University Faculty of Agricultural and Industrial Technology Department of Electronics and Automation Systems Engineering Phetchabun6700 Thailand

ISBN: (纸本)9798331543952

This paper presents an electronically controlled biquadratic filter designed for precise frequency selection in applications such as audio processing, telecommunications, and cochlear implants. The design utilizes AD830, AD844, and LM13700 integrated circuits, facilitating high-pass, band-pass, and low-pass responses with improved stability and real-time tunability. PSPICE simulations validate the filter's adaptability and performance, demonstrating its effectiveness in dynamic environments and its suitability for high-frequency applications requiring flexible frequency control. The results indicate a calculated pole frequency of 2.23 MHz, while simulations yield a slightly lower value of 2.0 MHz, affirming the design's practical viability and alignment with theoretical expectations. © 2025 IEEE.

关键词： LSI circuits

来源：评论

学校读者我要写书评

暂无评论

Sliding mode control of three-phase AC/DC converters using exponential rate reaching law

引用

Journal of Systems engineering and Electronics 2022年第1期33卷 210-221页

作者： JEERANANTASIN Narin NUNGAM Suksun Department of Electrical and Computer Engineering Faculty of EngineeringKing Mongkut’s University of Technology North BangkokBangkok 10800Thailand

Sliding mode control(SMC) becomes a common tool in designing robust nonlinear control systems, due to its inherent characteristics such as insensitivity to system uncertainties and fast dynamic *** modes are involved in the SMC operation, namely reaching mode and sliding *** the reaching mode, the system state is forced to reach the sliding surface in a finite *** major drawback of the SMC approach is the occurrence of chattering in the sliding mode, which is undesirable in most ***, the trade-off between chattering reduction and fast reaching time must be considered in the conventional SMC *** paper proposes SMC design with a novel reaching law called the exponential rate reaching law(ERRL) to reduce chattering, and the control structure of the converter is designed based on the multiinput SMC that is applied to a three-phase AC/DC power *** simulation and experimental results show the effectiveness of the proposed technique.

关键词： exponential rate reaching law(ERRL) multi-input sliding mode control(SMC) chattering reduction three-phase AC-to-DC converter

来源：评论

学校读者我要写书评

暂无评论

Optimizing User-Centric Clustering and Pilot Assignment in Cell-Free Networks for Enhanced Spectral Efficiency

引用

IEEE Internet of Things Journal 2025年第13期12卷 23139-23153页

作者： Aboulfotouh, Ahmed Fadlullah, Zubair Md Fouda, Mostafa M. Ismail, Muhammad Niyato, Dusit Lakehead University Department of Computer Science Thunder BayON Canada Western University Department of Computer Science Ontario LondonN6G 2V4 Canada Idaho State University College of Science and Engineering Department of Electrical and Computer Engineering PocatelloID83209 United States Tennessee Tech University Faculty of Engineering Department of Computer Science CookevilleTN United States Nanyang Technological University School of Computer Science and Engineering Singapore

Cell-free networks have emerged as a new paradigm for beyond-5G networks, offering uniform coverage and improved control over interference. However, scalability poses a challenge in full cell-free networks, where all access points (APs) serve all users. This challenge is addressed by user-centric clustering, where each user is served by a subset of APs, reducing complexity while maintaining coverage. In this paper, we provide an analysis of the relation between the user-centric clustering and pilot assignment problems in cell-free networks, and introduce a formulation which decouples both problems enabling each to be solved independently. We present a general problem formulation for the user-centric clustering problem, allowing the use of diverse per-user and network-wide performance metrics. Specifically, we focus on one instance of this framework, utilizing per-user spectral efficiency and network-wide sum spectral efficiency (SE) as metrics. Additionally, we formulate the pilot assignment problem to minimize overall channel estimation error while considering the user-centric clusters in evaluating the desirability of pilot assignments, which leads to better performing solutions. Both problems are classified as binary nonlinear programs that are at least NP-hard. To solve these optimization problems, our proposed methodology employs sample average approximation coupled with surrogate optimization for the user-centric clustering problem and utilizes the genetic algorithm for the pilot assignment problem. Numerical experiments demonstrate that the optimized solutions surpass baseline solutions, leading to significant improvements in spectral efficiency. © 2014 IEEE.

关键词： Genetic algorithms

来源：评论

学校读者我要写书评

暂无评论

Reset-Free Reinforcement Learning via Multi-State Recovery and Failure Prevention for Autonomous Robots

引用

Tsinghua Science and Technology 2024年第5期29卷 1481-1494页

作者： Xu Zhou Benlian Xu Zhengqiang Jiang Jun Li Brett Nener School of Mechanical Engineering Changshu Institute of TechnologyChangshu 215500China School of Automation Nanjing University of Science and TechnologyNanjing 210094China School of Electronic and Information Engineering Suzhou University of Science and TechnologySuzhou 215009China Faculty of Medicine and Health The University of SydneySydney 2006Australia Department of Electrical Electronic and Computer EngineeringThe University of Western AustraliaPerth 6009Australia

Reinforcement learning holds promise in enabling robotic tasks as it can learn optimal policies via trial and ***,the practical deployment of reinforcement learning usually requires human intervention to provide episodic resets when a failure *** manual resets are generally unavailable in autonomous robots,we propose a reset-free reinforcement learning algorithm based on multi-state recovery and failure prevention to avoid failure-induced *** multi-state recovery provides robots with the capability of recovering from failures by self-correcting its behavior in the problematic state and,more importantly,deciding which previous state is the best to return to for efficient *** failure prevention reduces potential failures by predicting and excluding possible unsafe actions in specific *** simulations and real-world experiments are used to validate our algorithm with the results showing a significant reduction in the number of resets and failures during the learning.

关键词： reinforcement learning manual reset multi-state recovery failure prediction

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：