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2022 IEEE International Conference on Power Systems and Electrical technology, PSET 2022

作者： Zeng, Zhaofei Zhang, Man Chen, Luan Huang, Qi Sun, Ding University of Electron Ic Science and Technology of China Key Laboratory of Wi De-area Measurement and Control on Power System of Sichuan Province Chengdu611731 China University of Electronic Science and Technology of China Chengdu611731 China Institute of Electronic and Information Engineering of Uestc in Guangdong Uestc in Guangdong Dongguan523808 China Chengdu Univer Sity of Technology Chengdu610095 China

ISBN: (纸本)9781665489157

This paper proposes a new method to determine the number of shorted turns for permanent magnet synchronous motor (PMSM). At first, the equivalent circuit model of PMSM under both normal condition and inter-turn short-circuit (ITSC) fault are presented. Then, the procedure to estimate the severity of ITSC in PMSM is introduced. In detailed, the stator winding of PMSM at standstill is excited by a low AC voltage, the corresponding current can be measured including its amplitude and phase, finally, the severity estimation indicator is established based on the electromagnetic parameters, including amplitude and phase of voltage and current, phase inductance and resistance. The effectiveness of the proposed method is verified by some simulations, which illustrates that the proposed method have good accuracy in the number of shorted turns detection in the range from the fault-free state to the full-winding fault state. The method proposed in this paper can be directly implemented without installing complex equipment and additional sensors on the motor, and it has utility value in the maintenance of PMSM. © 2022 IEEE.

关键词： Permanent magnets

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RainGaugeNet: CSI-Based Sub-6 GHz Rainfall Attenuation measurement and Classification for ISAC Applications

arXiv

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arXiv 2025年

作者： Li, Yan Yang, Jie Huang, Yixuan Yang, Tao Wen, Chao-Kai Jin, Shi The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Frontiers Science Center for Mobile Information Communication and Security Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing210096 China The National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety Institute of Water Science and Technology Hohai University Nanjing210098 China The Institute of Communications Engineering National Sun Yat-sen University Kaohsiung80424 Taiwan The National Mobile Communications Research Laboratory Southeast University Frontiers Science Center for Mobile Information Communication and Security Nanjing210096 China

Rainfall impacts daily activities and can lead to severe hazards such as flooding. Traditional rainfall measurement systems often lack granularity or require extensive infrastructure. While the attenuation of electromagnetic waves due to rainfall is well-documented for frequencies above 10 GHz, sub-6 GHz bands are typically assumed to experience negligible effects. However, recent studies suggest measurable attenuation even at these lower frequencies. This study presents the first channel state information (CSI)-based measurement and analysis of rainfall attenuation at 2.8 GHz. The results confirm the presence of rain-induced attenuation at this frequency, although classification remains challenging. The attenuation follows a power-law decay model, with the rate of attenuation decreasing as rainfall intensity increases. Additionally, rainfall onset significantly increases the delay spread. Building on these insights, we propose RainGaugeNet, the first CSI-based rainfall classification model that leverages multipath and temporal features. Using only 20 seconds of CSI data, RainGaugeNet achieved over 90% classification accuracy in line-of-sight scenarios and over 85% in non-line-of-sight scenarios, significantly outperforming state-of-the-art methods. Copyright © 2025, The Authors. All rights reserved.

关键词： Channel state information

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AUV Underwater Docking Guidance Method Based on Rotating Current Field

AUV Underwater Docking Guidance Method Based on Rotating Cur...

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IEEE/OES China Ocean Acoustics (COA)

作者： Jiahui Liu Zuoshuai Wang Wentie Yang Lanyi Liu Yidong Xu College of Information and Communication Engineering Harbin Engineering University Harbin China Hubei Key Laboratory of Marine Electromagnetic Detection and Control Wuhan Second Ship Design and Research Institute Wuhan China Hygon Information Technology Co. Ltd. Wuhan China Yantai Research Institute of Harbin Engineering University Yantai China

ISBN: (数字)9798350340297

ISBN: (纸本)9798350340303

Autonomous underwater vehicles (AUV) have been increasingly employed in marine resource exploration and development tasks; however, maintaining of long-term operations requires energy supplementation, which mandates docking with platforms. To address the challenges of AUV docking in intricate oceanic environments, this study proposes a novel docking guidance solution, grounded in the rotating current field mechanism. This approach employs multiple pairs of dipoles to transmit fixed phase difference signals, thereby creating a stable and uniform low-frequency current field region. Furthermore, based on the signal amplitude and phase characteristics relative to position, this paper introduces three AUV docking guidance methods able to achieve precise positioning and expedite the docking process. Experimental findings demonstrate that the proposed docking guidance method offers notable advantages in terms of positioning accuracy and feasibility of implementation, thus presenting a novel technical avenue for AUV underwater docking guidance.

关键词： Electrodes Autonomous underwater vehicles Accuracy Oceans Voltage Software Mathematical models Acoustics Marine vehicles

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A Robust and Scalable One-PUF-to-Many Authentication and Key Agreement Scheme for Mobile communication Network

A Robust and Scalable One-PUF-to-Many Authentication and Key...

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International Conference on Networking and Network Applications (NaNA)

作者： Yiteng Wang Zhe Ren Wei Wang Science and Technology on Communication Information Security Control Laboratory The 36th Research Institute of China Electronics Technology Group Corporation Jia'xing China School of Cyber Engineering Xidian University Xi'an China

Under the multi-cloud environment of mobile communication networks, unattended terminals would possibly be involved in different tasks. For the network security, terminals should be authenticated by cloud service providers (CSPs) before being involved in various tasks. As a new cryptology primitive, Physical Unclonable Function (PUF) can be served as a trusted root for unattended terminals and provide security property against physical attacks, based on which physical secure authentication can be executed. However, applying the PUF directly to the multi-cloud environment caused the authentication scheme to rely on the storage of the primitive challenge-response pairs, and there was a single point of failure problem. To solve these issues, we propose an authentication and key agreement scheme named RSOPM for secure authentication between terminals and CSPs. Specifically, mutual authentication without the storage of the primitive challenge-response pairs on the cloud is enabled by exploiting the trapdoor collision property of the chameleon hash function. Moreover, the redactable blockchain containing distributed registration information makes a terminal register only once, and then the terminal gains access to the various CSPs. The security properties are discussed to show our scheme resists various attacks. The results of experiments show that the overall delay is reduced by 33 % compared to other multi-cloud authentication schemes.

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Detection and Classification of Transmission Line Transient Faults Based on Graph Convolutional Neural Network

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CSEE Journal of Power and Energy Systems 2021年第3期7卷 456-471页

作者： Houjie Tong Robert C.Qiu Dongxia Zhang Haosen Yang Qi Ding Xin Shi Department of Electrical Engineering Center for Big Data and Artificial IntelligenceShanghai Jiao Tong UniversityShanghai 200240China School of Electronic Information and Communication Huazhong University of Science and TechnologyWuhan 430000China Electric Power Research Institute Haidian DistrictBeijing 100192China School of Control and Computer Engineering North China Electric Power UniversityBeijing 102206China

We present a novel transient fault detection and classification approach in power transmission lines based on graph convolutional neural *** with the existing techniques,the proposed approach considers explicit spatial information in sampling sequences as prior knowledge and it has stronger feature extraction *** this basis,a framework for transient fault detection and classification is *** structure is generated to provide topology information to the *** approach takes the adjacency matrix of topology graph and the bus voltage signals during a sampling period after transient faults as inputs,and outputs the predicted classification results ***,the proposed approach is tested in various situations and its generalization ability is verified by experimental *** results show that the proposed approach can detect and classify transient faults more effectively than the existing techniques,and it is practical for online transmission line protection for its rapidness,high robustness and generalization ability.

关键词： Graph convolutional network(GCN) power transmission line fault detection and classification spatio-temporal data topology information

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High-Performance Nonlinear control for Three-Phase Two-Level Boost PFC Rectifier

High-Performance Nonlinear Control for Three-Phase Two-Level...

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2024 International Conference on Materials and Energy: Energy in Electrical engineering, ICOME-EE 2024

作者： Sriprang, Songklod Nahid-Mobarakeh, Babak Takorabet, Noureddine Pierfederici, Serge Siangsanoh, Apinya Yodmanee, Kanapot Mungporn, Pongsiri Thounthong, Phatiphat Poonnoy, Nitchamon Bizon, Nicu Suyata, Thong-In Noosawang, Sakrit Université de Lorraine GREEN-ENSEM Laboratory 54505 France Rajamangala University of Technology Rattanakosin Wang Klai Kangwon Campus Petchkasem RD Prachuap Khiri Khan77110 Thailand Université de Lorraine LEMTA Laboratory 54505 France Thailand Thai-French Innovation Institute King Mongkut's University of Technology North Bangkok Bangkok10800 Thailand Faculty of Technical Education Dept. Teacher Training in Electrical Engineering Thailand University of Pitesti Faculty of Electronics Communication and Computers Pitesti110040 Romania University of Technology Faculty of Rajamangala Department of Electrical Engineering Thanyaburi 39 Moo 1 Rangsit-Nakhonnayok Road Pathum Thani 12110 Thailand King Mongkut's University of Technology Thonburi Faculty of Engineering Dept. of Control System and Instrumentation Engineering Bangkok10140 Thailand

ISBN: (纸本)9798331531577

This paper presents a high-performance nonlinear control strategy for a three-phase, two-level boost Power Factor Correction (PFC) rectifier. The proposed control method aims to achieve superior performance in terms of power factor correction, output voltage regulation, and dynamic response under various operating conditions. Utilizing advanced nonlinear control techniques, the system ensures optimal tracking of the reference signals, minimizing total harmonic distortion (THD) and improving overall efficiency. The effectiveness of the control strategy is validated through extensive simulations and experimental results, demonstrating significant improvements in the transient and steady-state performance of the rectifier. This approach provides a robust and efficient solution for PFC applications in modern power electronics systems. © 2024 IEEE.

关键词： Nonlinear control systems

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Tolerance analysis of multiple-element linear retrodirective cross-eye jamming

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Journal of Systems engineering and Electronics 2020年第3期31卷 460-469页

作者： LIU Tianpeng WEI Xizhang PENG Bo LIU Zhen SUN Bin GUAN Zhiqiang College of Electronic Science and Technology National University of Defense TechnologyChangsha 410073China School of Electronic and Communication Engineering Sun Yat-sen UniversityShenzhen 518107China Beijing Institute of Tracking and Telecommunication Technology Beijing 100094China Beijing Huahang Radio Measurement Institute Beijing 100013China

Tolerance sensitivity limits the practical application of the cross-eye *** literature has demonstrated that retrodirective cross-eye jamming with multiple antenna elements possesses the advantage of loose tolerance requirements compared to traditional cross-eye ***,the previous analysis was limited,because there are still some factors affecting the parameter tolerance of the multiple-element retrodirective cross-eye jamming(MRCJ)system and they have not been investigated completely,such as the loop difference,the baseline ratio and the jammer-to-signal *** paper performs a comprehensive tolerance analysis of the MRCJ system with a nonuniformspacing linear *** results demonstrate the tolerance effects of the above influence factors and give reasonable advice for easing tolerance sensitivity.

关键词： electronic warfare(EW) electronic countermeasure(ECM) cross-eye jamming radar active jamming tolerance

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Multi-objective Group Decision and Cooperative Planning Based on Preference and Fuzzy Measure 1

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7th Chinese Conference on Swarm Intelligence and Cooperative control, CCSICC 2023

作者： Ma, Xiwen Xie, Wei Yang, Jingsong Zhang, Weidong Lu, Jinhui School of Oceanography Shanghai Jiao Tong University Shanghai China State Key Laboratory of Satellite Ocean Environment Dynamics Second Institute of Oceanography Ministry of Natural Resources Hangzhou China Department of Automation Shanghai Jiao Tong University Shanghai China Zhuhai China School of Information and Communication Engineering Hainan University Hainan Haikou China National Engineering Research Center of Ship and Shipping Control System Shanghai China Crossocean of Suzhou technology No. 218 East Oingdao Road Suzhou China

ISBN: (数字)9789819733323

ISBN: (纸本)9789819733316

To pursue interest balance and improve collaboration efficiency, this paper proposes a multi-agent cooperation method integrating decision-making and planning. Based on preference and fuzzy measures, this method can balance individual and group benefits under fuzzy uncertain environment. The equilibrium solution of a multi-agent multi-objective game, namely group decision-making (GDM) solution, can be obtained by the Gaussian oscillation particle swarm optimization (GOPSO) algorithm, which overcomes the dilemma of a multi-objective group game and improves the computational efficiency. Considering the smoothness and continuity of the trajectory, a heuristic motion planning (MP) generation model that satisfies the kinematic constraints and minimizes differential thrust is proposed, which improves the cooperation efficiency. To verify the performance of this proposed method, simulation results are presented and some comparative statements are given. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Decision making

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Attention Mechanism-Based Multilayer Pruned Graph Convolutional Network for Industrial Fault Diagnosis

SSRN

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SSRN 2024年

作者： Zhao, Qiang Chen, Libin Chen, Qiyue Han, Yinghua Sun, Jie College of Information Science and Engineering Northeastern University Shenyang China School of Control Engineering Northeastern University at Qinhuangdao Qinhuangdao China School of Computer and Communication Engineering Northeastern University at Qinhuangdao Qinhuangdao China The State Key Laboratory of Rolling and Automation Northeastern University United States Hebei Key Laboratory of Micro-Nano Precision Optical Sensing and Measurement Technology Qinhuangdao066004 China

Fault diagnosis in complex industrial processes has become a vital issue drawing the attention in the industrial field. With the increasing deployment of sensors in industrial process equipment, deep learning (DL) based approaches have become more feasible. However, most existing DL-based approaches have two main drawbacks. Firstly, there is complex coupling between variables in industrial processes. Most existing approaches have only one metric to build the network, which cannot fully explore the potential relationships between variables. Secondly, there are few studies on aggregating critical features of different variables and reducing the interference of irrelevant and redundant information. To overcome these challenges, this paper presents a new approach for industrial process troubleshooting, called the variational modal decomposition-multi-head graph pruning network (VMD-MHGPN). This approach draws inspiration from the attention mechanism and combines it with graph construction and pruning. Specifically, we use multiple attention mechanisms to learn the interactions between nodes. Previously, variational modal decomposition (VMD) is applied to extract fault features at different time scales and use them as subsequent graph nodes. To reduce the impact of irrelevant and redundant nodes on the fault feature representation, we introduce the graph pruning operation, which uses an attention mechanism to score nodes and discard relatively unimportant ones. The final representation of fault features is generated by computing the weights of different interaction graphs based on the attention mechanism and aggregating multiple interaction graphs according to the weights. The proposed approach for diagnosing faults in industrial processes proved efficient and superior based on experimental findings from a three-phase flow apparatus and a Tennessee Eastman process. © 2024, The Authors. All rights reserved.

关键词： Failure analysis

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Dynamic grouping of heterogeneous agents for exploration and strike missions

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Frontiers of Information technology & Electronic engineering 2022年第1期23卷 86-100页

作者： Chen CHEN Xiaochen WU Jie CHEN Panos M.PARDALOS Shuxin DING School of Automation Beijing Institute of TechnologyBeijing100081China Department of Control Science and Engineering Tongji UniversityShanghai200092China Center for Applied Optimization Department of Industrial and Systems EngineeringUniversity of FloridaGainesvilleFL32611USA Signal and Communication Research Institute China Academy of Railway Sciences Corporation LimitedBeijing100081China

The ever-changing environment and complex combat missions create new demands for the formation of mission groups of unmanned combat *** study aims to address the problem of dynamic construction of mission groups under new *** are heterogeneous,and a group formation method must dynamically form new groups in circumstances where missions are constantly being *** our method,a group formation strategy that combines heuristic rules and response threshold models is proposed to dynamically adjust the members of the mission group and adapt to the needs of new *** degree of matching between the mission requirements and the group’s capabilities,and the communication cost of group formation are used as indicators to evaluate the quality of the *** response threshold method and the ant colony algorithm are selected as the comparison algorithms in the *** results show that the grouping scheme obtained by the proposed method is superior to those of the comparison methods.

关键词： Multi-agent Dynamic missions Group formation Heuristic rule Networking overhead

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