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检索条件"任意字段=2023 3rd International Conference on Electrical Engineering and Computer Technology, ICEECT 2023"

共 11232 条记录，以下是301-310 订阅

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Lightning overvoltage protection of 35kV collector lines in wind farms 3

Lightning overvoltage protection of 35kV collector lines in ...

引用

3rd IEEE international conference on Power, Electronics and computer Applications, ICPECA 2023

作者： Guo, Jihong Liu, Runbiao Jing, Zhe Wind Power Engineering & Consulting Co. Ltd. Beijing China

ISBN: (纸本)9781665472784

This paper focuses on the design of 35kV overhead lines in wind farms, some measures about lightning overvoltage protection. It aims to fully realize the protection of high-voltage cables, padmount transformer and electrical equipment of substations. These countermeasure seems to be a little conservative, but it is correct in terms of lightning overvoltage protection, and it is feasible in operation. The specific measures are: erecting lightning protection lines throughout the overhead line;perfecting the protection connection of lightning intrusion waves of cable;strengthen the grounding device of the line tower. © 2023 IEEE.

关键词： Electrolysis

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Model Reference Adaptive System for Permanent Magnet Synchronous Motors 3

Model Reference Adaptive System for Permanent Magnet Synchro...

引用

3rd international conference on electrical engineering and Control Science, IC2ECS 2023

作者： Zhao, Xinkai Nie, Yahui Bin, Hong School of Mechanical Engineering Tianjin University of Technology and Education Tianjin China School of Mechanical Engin Tianjin University Tianjin China

ISBN: (纸本)9798350382426

Permanent magnet synchronous motors (PMSM) are widely used because of their high power density and fast dynamic response. Sensorless control technology can reduce the cost brought about by the use of sensors in motors and can improve the accuracy and reliability of system operation. This paper has developed an adaptive system (MRAS) based on vector control and non-building control of synchronous engines with permanent magnets. The method is modeled in Matlab/Simulink environment and the results of simulation analysis are derived. © 2023 IEEE.

关键词： field oriented control adaptive law model reference adaptive system permanent magnet synchronous motor

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Driving behavior recognition method based on trajectory data detected by millimeter wave radar 3

Driving behavior recognition method based on trajectory data...

引用

3rd international conference on Consumer Electronics and computer engineering, ICCECE 2023

作者： Zhang, Rui Liu, Haiqing College of Transportation Shandong University of Science and Technology Qingdao China College of Electrical Engineering and Automation Shandong University of Science and Technology Qingdao China

ISBN: (纸本)9798350331578

In this paper, a multi-step vehicle driving behavior recognition method based on roadside millimeter-wave radar detecting trajectory data is proposed. The time and vehicle radial speed in trajectory data are selected as characteristic parameters. By analyzing the characteristic parameters of vehicles, different vehicle driving behaviors are classified. The proposed method marks and judges single driving behaviors, continuous driving behaviors, and complete driving behaviors in the state of RA (rapid acceleration), rd (rapid deceleration), GA (general acceleration), GD (general deceleration), and CS (constant speed) by calculating acceleration, interval time, and duration. The identification of vehicle driving behavior is completed finally. Using the vehicle trajectory data of continuous traffic flow scenarios at urban signal intersections as a sample, the established recognition method is applied for recognition and the results are compared with the actual driving behaviors of the sample. The identification results are consistent with the driving behavior reflected by the sample time-speed variation curves. It shows that the identification method proposed in this paper can effectively identify five types of driving behavior, and the accurate identification results of vehicle driving behavior have significance for traffic safety and traffic congestion improvement decision-making. © 2023 IEEE.

关键词： Vehicles

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A Novel Distributed Generation Injection Signal Line Fault Detection technology 3

A Novel Distributed Generation Injection Signal Line Fault D...

引用

3rd international conference on electrical engineering and Mechatronics technology, ICEEMT 2023

作者： Fu, Hua Moutombo, Elza Darline Reise Loubaki Liu, Shanglin Liaoning Technical University Department of Electrical and Control Engineering Huludao China

ISBN: (纸本)9798350303698

For solving such problem as difficult identification of fault of distribution line and improving the safety of reclosing operation of distribution line, the principle of fault character identification of distribution line based on injection signal of distributed generation is proposed. In this paper distributed generation injection signal, based distribution line fault detection technology was proposed. Briefly introduce the equivalent parameters of distribution line, in case of transient and permanent fault conditions, are analyzed and the criterion of fault character identification. In addition to this, a control scheme for the inverter that will output a three-phase symmetrical voltage signal in the event that there is a loss of power to the system has been designed. The Matlab simulation serves to validate both the practicability and soundness of the strategy that has been suggested. The result show that uses the existed injection signal of the distributed generation device for fault identification, and has such advantages as accurate fault detection, convenient implementation and economic reliability without additional power supply. © 2023 IEEE.

关键词： Distributed power generation

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Resolution Improvement of Hall Effect Gear Tooth Magnetic Encoder 3

Resolution Improvement of Hall Effect Gear Tooth Magnetic En...

引用

3rd international conference on electrical Machines and Drives, ICEMD 2023

作者： Nikzad, Mahdi Nasiri-Gheidari, Zahra Sharif University of Technology Department of Electrical Engineering Tehran Iran

ISBN: (纸本)9798350393743

Magnetic encoders as position sensors are widely used in industrial applications. They have numerous benefits, including resilience, cheap maintenance costs, minimal sensitivity to EMI noise, and a wide temperature range. However, they suffer from relatively low resolution. Therefore, the highest resolution that a magnetic encoder may achieve is estimated in this study. Then, a low-cost output circuit is proposed to increase the resolution of magnetic encoder without changing its primary parameters. The experimental measurements on the porotype of the sensor approve the success of the proposed method. © 2023 IEEE.

关键词： Finite element method

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Output Power Based Optimum Phase Shift Control of Dual Active Bridge Converter 3

Output Power Based Optimum Phase Shift Control of Dual Activ...

引用

3rd international conference on Energy, Power and electrical engineering, EPEE 2023

作者： Kumar, Anupam Rathore, Arun Ies College of Technology Department of Electrical and Electronics Engineering Madhya Pradesh Bhopal India Dr.B.R.Ambedkar National Institute of Technology Department of Electrical Engineering Punjab Jalandhar India

ISBN: (纸本)9798350318180

Dual active bridge (DAB) is propounded in the paper which is a DC-DC bidirectional power converter, along with a simulation of output power based optimum phase shift controller. While regulating the flow of power, the output power based optimum phase shift controller allows it to have a better response and better voltage stability of DC-link. The power-flow determines the voltage output, and the power flow is influenced by the ratio of primary to secondary bridge phase shift. With the control described here, the power flow is administered by computing the phase shift ratio after computing the reference from the load current and output voltage. A separate section on practical problems associated with practical DAB prototype is also presented in this paper. © 2023 IEEE.

关键词： Dead time Dual Active Bridge Converter Output power based controller phase shift angle

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Smart IoT based Approach for Accident Detection and Prevention 3

Smart IoT based Approach for Accident Detection and Preventi...

引用

3rd international conference on Innovative Mechanisms for Industry Applications, ICIMIA 2023

作者： Chaganti, Pavan Chandra Vishal Sukesh, Koppuravuri Sai Surekha, P. Amrita Vishwa Vidyapeetham Amrita School of Engineering Bengaluru Department of Electrical and Electronics Engineering Bengaluru India Vellore Institute of Technology School of Computer Science and Engineering Tamil Nadu India

ISBN: (纸本)9798350343632

With an exponential rise in population and growth in technology, most people now have access to the luxury of mobility. Road Traffic is increasing day by day and so are accidents. People neglect to take proper precautions and don't follow rules. Also, most of the time these accidents do not get notified to the concerned authority during the golden hour when the victims' lives can be saved. This leads to a rise in the road accidents causing more number of deaths. The main aim of this research study is to build a system to reduce the number of road accidents and deaths or injuries. The proposed IoT device will take care of factors like dizziness, and emotions of the driver, reduction in the speed of the car by automatic application of the brakes, and ensuring notifications are sent to nearby hospitals in a much faster manner even if accidents occur. © 2023 IEEE.

关键词： Accident Prevention Arduino Internet of Things Proteus

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Research on autonomous intelligent inspection technology of substation based on image recognition and computer vision 3

Research on autonomous intelligent inspection technology of ...

引用

3rd international conference on Electronics, electrical and Information engineering, ICEEIE 2023

作者： Fang, Mengran Li, Jingya Cai, Li Wang, Zheng State Grid Information and Communication Industry Group Co. Ltd. Beijing Branch Beijing China

ISBN: (纸本)9781510671423

Substation is the core hub of power grid transmission, which provides the necessary guarantee for the safe and stable operation of substation and even the whole power grid. There are many kinds of electrical equipment in substation, and the distribution is dense. Different equipment shows obvious differences in appearance and state. When inspecting these electrical equipment, we can not only use traditional manual inspection methods, but also rely on artificial intelligence technology and big data technology to build an intelligent inspection robot, and realize the recognition of image information through image recognition technology. In this article, the application of intelligent inspection robot in autonomous intelligent inspection of substation is studied, and the path planning model of inspection robot is constructed by combining image recognition and computer vision technology. The experimental results show that the path planning algorithm of inspection robot in this article has small error and excellent accuracy, which can reach more than 98% after many iterations. The algorithm realizes the stable, reliable and high-precision inspection operation of the substation inspection robot. © 2023 SPIE.

关键词： computer vision

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Research on Financial Risk Early Warning System Based on computer Artificial Intelligence 3

Research on Financial Risk Early Warning System Based on Com...

引用

3rd international Signal Processing, Communications and engineering Management conference, ISPCEM 2023

作者： Han, Huihui Shandong Institute of Commerce and Technology Jinan China

ISBN: (纸本)9798350307023

In this paper, the feature extraction method of financial text is firstly established based on Bidirectional Encoder Representation from Transformers and autoencoder. The author suggests to add loopback connection in the financial data mining process, so that the financial data mining process has a loopback structure. The limitation of this model in information system is overcome by means of database and batch document. The research shows that the financial text features extracted from the Bidirectional Encoder Representation from Transformers can enhance the prediction effect of the four financial early warning models on AUC. It shows that Bidirectional Encoder Representation from Transformers can extract the characteristics of financial text well to enhance the ability to predict the financial market. © 2023 IEEE.

关键词： Learning systems

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Adversarial Machine Learning Challenges in Modern Network Security Systems 3

Adversarial Machine Learning Challenges in Modern Network Se...

引用

3rd IEEE international conference on ICT in Business Industry and Government, ICTBIG 2023

作者： Ghosh, Amarjeet Pahade, Akhilesh Malviya, Rahul Ies College of Technology Department of Electronics & Communication Engineering Madhya Pradesh Bhopal462044 India Ies University Department of Computer Science & Engineering Madhya Pradesh Bhopal462044 India Ies College of Technology Department of Electrical & Electronics Engineering Madhya Pradesh Bhopal462044 India

ISBN: (纸本)9798350343274

In the rapidly evolving landscape of network security, the threat of adversarial attacks on machine learning models has emerged as a critical concern. In response, we propose the Adversarial Robust Network Security Framework (ARNetSec), a comprehensive defense strategy integrating three pivotal algorithms - Adversarial Training (AT), Randomized Smoothing (RS), and Defensive Distillation (DD). AT involves training the model on a mixture of clean data and adversarial examples, generated through the Fast Gradient Sign Method (FGSM). RS adds random noise to input data during inference, creating uncertainty that hampers adversarial attempts. DD employs temperature scaling in the softmax function, smoothing the probability distribution and enhancing robustness. This framework collectively fortifies machine learning models, bolstering their resistance against adversarial attacks, and substantially improving their generalization capabilities. © 2023 IEEE.

关键词： Network security

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