检索结果-内蒙古大学图书馆

8th IEEE International Conference on Computing, engineering and Design, ICCED 2022

作者： Pangestu, Agung Sodikin, Iing Yusro, Muhammad Sapundani, Rum Al Hakim, Rosyid Ridlo Wilyanti, Sinka Jakarta Global University Faculty of Engineering and Computer Science Electrical Engineering Department Depok Indonesia State University of Jakarta Faculty of Engineering Department of Electronic Engineering Jakarta Indonesia University of Muhammadiyah Purwokerto Electromedical Engineering Technology Faculty of Health Science Purwokerto Indonesia Jakarta Global University Graduate Program in Electrical Engineering Faculty of Engineering and Computer Science Depok Indonesia

ISBN: (纸本)9781665453899

Research has been carried out to monitor vehicle tires before they are used and can reduce damage, including overcoming vehicle fuel waste because air pressure is continuously monitored. This research aims to utilize the MPX5500DP sensor as an air pressure device, the LM35 sensor as a temperature reader, and a buzzer based on IoT to build a tire pressure monitoring system (TPMS). The MPX5500DP and LM35 sensor inputs to the Arduino Uno microcontroller are distributed by the NodeMCU, fitted with a Wi-Fi module. The Blynk application sends and displays the data on a smartphone using the IoT-based. Based on this research, data on the percentage of errors in monitoring air pressure and tire temperature on vehicles were obtained by comparing the data to the pressure gauge and thermometer: 1-the results of the average reading of the sensor error value. MPX5500DP air pressure against pressure gauge is 5.3%. 2-the average reading of the LM35 sensor error value on the temperature thermometer is 6.8%. With this research, the air pressure and temperature in the tires can be monitored in real-Time via a smartphone using the IoT-based. © 2022 IEEE.

关键词： Thermometers

来源：评论

学校读者我要写书评

暂无评论

Frequency-Voltage-var Function for VFD in Oil and Gas Platform with Wind Power 8

Frequency-Voltage-var Function for VFD in Oil and Gas Platfo...

引用

8th Southern Power electronics Conference and the 17th Brazilian Power electronics Conference, SPEC / COBEP 2023

作者： De Sousa Medeiros, Kassiane Da Rocha, Lorrana Faria Soares Callegari, João Marcus Brandão, Danilo Iglesias Universidade Federal de Minas Gerais Graduate Program in Electrical Engineering Belo Horizonte Brazil Norwegian University of Science and Technology Department of Electric Energy Trondheim Norway

ISBN: (纸本)9798350321128

Renewable energy resources emerge as a sustainable alternative to augmenting the energy supply of Floating Production Storage and Offloading (FPSO) platforms. However, the increased generation based on converter-interfaced energy decreases the system-equivalent inertia constant, which becomes more susceptible to frequency deviations. This paper proposes and evaluates the performance of the combined frequency-voltage-var control to mitigate frequency variation in a typical FPSO unit with penetration of wind power systems. The control functions are communication-free and embedded in two active front-end variable frequency drives (AFE- VFDs) set on water injection pumps. The FPSO's electrical power system model is developed in MATLAB/Simulink®. Comparative results with the AFE-VFD equipped with volt-var, freq-var, and combined freq-volt-var functions are shown to highlight the merits of the proposed solution. © 2023 IEEE.

关键词： Floating production storage and offloading freq-var control isolated power system power quality volt-var control

来源：评论

学校读者我要写书评

暂无评论

SODIUM-ION BATTERY CYCLE LIFE PREDICTION USING MACHINE LEARNING

SODIUM-ION BATTERY CYCLE LIFE PREDICTION USING MACHINE LEARN...

引用

International Conference on Green Energy, Computing and Intelligent Technology 2024, GEn-CITy 2024

作者： Liu, Linfeng Juwono, Filbert H. Wong, W.K. Purwanto, Erick Jin, Tingyan Zhen, Yuyang Sustainable Energy Technology Program Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Computer Engineering Curtin University Malaysia Miri Malaysia Department of Computing Xi'an Jiaotong-Liverpool University Suzhou China School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing China School of Instrument Science and Technology Beijing University of Technology Beijing China

ISBN: (纸本)9781837242689

In this study, we explore the classification and prediction capabilities of three models-Genetic programming (GP), Logistic Regression (LR), and the Kolmogorov-Arnold Network (KAN)-on the task of sodium-ion battery life prediction. By leveraging a dataset composed of multiple battery characteristics, we aim to determine the remaining power of sodium-ion batteries using these machine learning models. The KAN model, being a novel approach, demonstrates superior performance across various metrics, including accuracy, precision, recall, and F1 score, when compared to the other two models. This highlights the potential of KAN as a robust model for complex classification tasks in the field of battery life prediction. © The Institution of engineering & Technology 2024.

关键词： Genetic programming

来源：评论

学校读者我要写书评

暂无评论

Power Quality Assessment of Oil and Gas Platform with High Penetration of Floating Offshore Wind Power 8

Power Quality Assessment of Oil and Gas Platform with High P...

引用

8th Southern Power electronics Conference and the 17th Brazilian Power electronics Conference, SPEC / COBEP 2023

作者： Medeiros, Kassiane De Sousa Callegari, João Marcus Soares Da Rocha, Lorrana Faria Brandão, Danilo Iglesias Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Norwegian University of Science and Technology Department of Electric Energy Trondheim Norway

ISBN: (纸本)9798350321128

This paper aims to analyze the effect on power quality of a Floating Production Storage and Offloading (FPSO) power system under high penetration of wind-based power generation. A set of results simulated in MATLAB/Simulink® is shown to assess different operational scenarios of a typical Brazilian FPSO, from Mero Oil Field. The floating offshore wind power penetration is varied from 10 to 50 MW and the FPSO power quality effects are reported;then the effect of increasing the umbilical distance from 12 to 150 km between the wind farm and FPSO is evaluated;and finally, the reduction in the number of gas turbine generators (3 and 2 generators) is performed. The conclusions are drawn based on steady-state and transient voltage and frequency profiles;active and reactive power flow between loads and generation;the rate of change of frequency and the minimum frequency reached under the disturbance event when a wind generation loss of 10 MW is triggered. © 2023 IEEE.

关键词： Floating production storage and offloading isolated power systems power quality wind power generation

来源：评论

学校读者我要写书评

暂无评论

Applied Depthwise Separable-based Convolutional Neural Network Classification on MobileNet Algorithm for Human Fall Detection

Applied Depthwise Separable-based Convolutional Neural Netwo...

引用

International electrical engineering Congress (iEECON)

作者： Pipat Sakarin Suchada Sitjongsataporn The Electrical Engineering Graduate Program Faculty of Engineering and Technology Mahanakorn University of Technology Bangkok Thailand Department of Electronic Engineering Mahanakorn Institute of Innovation (MII) Mahanakorn University of Technology Bangkok Thailand

ISBN: (数字)9798350383591

ISBN: (纸本)9798350383607

This paper presents the human fall detection by convolutional neural network (CNN) classification and MobileNet algorithm. In order to reduce the number of parameter, we propose a vision-based fall detection model, that is called “Applied Depthwise separable-based CNN-MobileNet (ACM) algorithm”. This model is based on CNN, deptwise convolution and pointwise convolution of MobileNet algorithm. Experimental results show the accuracy of proposed ACM model about 97.68% and number of parameters of proposed ACM model is less than conventional CNN model.

关键词： electrical engineering Convolution Classification algorithms Convolutional neural networks Fall detection Standards

来源：评论

学校读者我要写书评

暂无评论

Correlating the Ambient Conditions and Performance Indicators of the LoRaWAN via Surrogate Gaussian Process-Based Bidirectional LSTM Stacked Autoencoder

引用

IEEE Transactions on Network and Service Management 2023年第3期20卷 3413-3427页

作者： Bhat, Showkat Ahmad Huang, Nen-Fu Hussain, Imtiyaz Sajjad, Uzair National Tsing Hua University College of Electrical and Computer Science Hsinchu1300044 Taiwan National Tsing Hua University Department of Computer Science Hsinchu1300044 Taiwan National Taipei University of Technology Graduate Program in Energy and Opto-Electronic Materials Taipei10608 Taiwan National Taipei University of Technology Department of Energy and Refrigerating Airconditioning Engineering Taipei10608 Taiwan

LoRa's biggest advantage is its flexibility, which is the ability to increase or decrease data rate and range while decreasing or increasing sensitivity. Whenever propagation conditions change frequently, this function allows the spreading factor to be modified accordingly. Despite their efficiency and scalability, adaptive data rate algorithms ignore and fail to factor in the complex correlation between ambient weather parameters influencing the communication channel design. In this research, a Bayesian surrogate Gaussian process-based bidirectional LSTM stacked autoencoder model (BSGP-BLSTM-SAE) is proposed to estimate the channel performance indicators such as received signal strength indicator (RSSI) and signal-to-noise ratio (SNR) and to determine the correlation between the ambient weather conditions and performance indicators for the LoRaWAN network. Bayesian optimization algorithm has been used to optimize the hyper-parameters of the developed model. A LoRaWAN experimental multivariate time series dataset has been used for the evaluation of the developed model, which upon testing and validation produces high accuracy in predicting the channel performance indicators and ambient conditions of the experimental LoRaWAN network. The mean absolute error of the developed model was around 0.45. Thus, the proposed model can predict the link performance indicators and thereby assist in real-time optimization of the transmission parameters to enhance the network performance in LoRaWAN-based systems at different ambient conditions. © 2004-2012 IEEE.

关键词： Internet of things

来源：评论

学校读者我要写书评

暂无评论

Multipoint FBG sensing using incoherent OFDR and two-photon absorption process in Si-APD

Multipoint FBG sensing using incoherent OFDR and two-photon ...

引用

CLEO: Science and Innovations, S and I 2022

作者： Sato, Ryosuke Takagi, Reina Saito, Itsuki Sonoda, Naofumi Zhaoa, Shihua Tanaka, Yosuke Department of Electrical and Electronic Engineering Graduate School of Engineering Tokyo University of Agriculture and Technology 2-24-16 Naka-cho Koganei Tokyo Japan

We propose multipoint sensing using fiber Bragg gratings having almost the same Bragg wavelength and incoherent optical frequency domain reflectometry along with two-photon absorption process in Si-APD. The principle ... 详细信息

ISBN: (纸本)9781557528209

关键词： Fiber Bragg gratings

来源：评论

学校读者我要写书评

暂无评论

Diode-Clamped Linear Amplifier using Only n-channel MOSFETs Applied Separated Gate Drivers

Diode-Clamped Linear Amplifier using Only n-channel MOSFETs ...

引用

International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Tomoya Sasanuma Shuto Yagawa Hirohito Funato Graduate program in Information Electrical and Electronic Systems Engineering Utsunomiya University Utsunomiya Japan Faculty of Engineering Utsunomiya University Utsunomiya Utsunomiya Japan

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

This paper proposes a diode-clamped linear amplifier (DCLA) using only n-channel MOSFETs applied by separated gate drive circuits. Conventional DCLA uses the source follower function of MOSFETs and therefore require an n-channel MOSFETs and a complementary p-channel MOSFETs. In addition, high voltage reference signals are required due to unity voltage gain. The proposed DCLA can be composed of only n-channel MOSFETs and directly controls the gate-source voltage of the MOSFETs resulting in low voltage drive signals. In this paper, the proposed circuit was experimentally verified using voltage feedback control, and it was confirmed that the efficiency was improved compared to conventional circuits and that the THD of the output voltage was approximately 2%.

关键词： MOSFET Low voltage Renewable energy sources Reactive power Circuits Logic gates Gate drivers Voltage control Integrated circuit modeling Optimization

来源：评论

学校读者我要写书评

暂无评论

Analysis of Loss Tangent in Current Transformers Using the Finite Element Method 23

Analysis of Loss Tangent in Current Transformers Using the F...

引用

23rd International Symposium on High Voltage engineering, ISH 2023

作者： Leite Neto, Antonio F. Guedes, Edson G. Vilar, Pablo B. Lira, George R.S. Andrade, Filipe L.M. Melo, João Victor J. Junior, Almir C.S. Marotti, Ana C.F. Costa, André I. Souza, João Paulo A. Electrical Engineering Graduate Program Federal University of Campina Grande Campina Grande Brazil Department of Electrical Engineering Federal University of Campina Grande Campina Grande Brazil Department of Electrical Engineering Federal Institute of Paraiba Patos Brazil Eletrobras Furnas Electric Power Furnas Rio de Janeiro Brazil Concert Concert Technologies Belo Horizonte Brazil

ISBN: (纸本)9781839539954

Failures in Current Transformers (CTs) can have a significant financial impact on utilities, causing revenue loss, service interruptions, and even damage to nearby equipment. To minimize the effects of CT degradation on the electrical system, predictive techniques and continuous monitoring are essential. One such tool that can aid in the supervision and diagnosis of equipment in service is the loss tangent. This parameter is directly related to the aging and degradation of electrical insulation, making it a useful indicator of possible failures in CTs. Therefore, this work aims to perform computer simulations using the finite element method (FEM) to simulate the effect of oil and paper degradation on the loss tangent values of a 230 kV current transformer. To achieve this, the COMSOL Multiphysics® software was used to verify the loss tangent as a function of the conductivity of parameters correlated to the CT dielectric. The results of the simulations show that the degradation of oil and paper substantially increases the value of the loss tangent. Additionally, it was found that the simultaneous or individual degradation of oil and paper have different effects on the loss tangent values obtained. The findings of this study demonstrate the usefulness of loss tangent as a tool for the diagnosis and supervision of electrical equipment in service. © The Institution of engineering & Technology 2023.

关键词： Distribution transformers

来源：评论

学校读者我要写书评

暂无评论

Characteristics of Switched Reluctance Motor Using Operating Area Expandable Drive Circuit in Unexpanded Operating Area

Characteristics of Switched Reluctance Motor Using Operating...

引用

International Conference on electrical Machines and Systems (ICEMS)

作者： Taisei Ishizawa Ryuya Sugai Hiroki Goto Hirohito Funato Graduate program in Information Electrical and Electronic Systems Engineering Utsunomiya University Japan Utsunomiya University Japan Faculty of Engineering Utsunomiya University Japan

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

In driving switched reluctance (SR) motors at high speeds, it is necessary to apply a high voltage during excitation and demagnetization. To clarify the usefulness of the proposed drive circuit, this paper focuses on the reduction of copper loss in motors and confirms the effect of copper loss reduction by comparing it with the conventional drive circuit. We also focused on capacitor voltage fluctuations caused by resonance phenomena and examined the effect of increasing torque by actively utilizing resonance phenomena.

关键词： Torque Voltage fluctuations Fluctuations Switches Switched reluctance motors Drives Motors Capacitance Resonance Copper

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：