检索结果-内蒙古大学图书馆

2023 5th International Conference on Energy, Power and Grid, ICEPG 2023

作者： Wang, Ziyuan Gao, Qingzhong School of Renewable Energy Shenyang Institute of Engineering Liaoning Shenyang110136 China Liaoning Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Shenyang110136 China

The traditional distribution network with centralized control faces the problems of communication delay, large amount of calculation and too many control devices. This research offers a distributed power cluster division technique based on Smart Local Moving (SLM) to overcome the problem of challenging regulation of distributed power supply in modern distribution networks. First of all, on the basis of the modularity division standard, introduce the comprehensive cluster division index of intra-group reactive power and active matching degree index, so as to ensure the strength of the cluster structure on the basis of making it have a certain degree of voltage regulation capability. Secondly, the cluster division scheme of distributed power supply is formed based on SLM algorithm. Lastly, the feasibility and efficacy of the suggested method are validated using IEEE33 cluster partitioning. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Electric power distribution

来源：评论

学校读者我要写书评

暂无评论

Optimal power flow calculation method for regional integrated energy system based on double-layer optimization 5

Optimal power flow calculation method for regional integrate...

引用

2023 5th International Conference on Energy, Power and Grid, ICEPG 2023

作者： Zhang, Tianshuo Zhao, Yan Liu, Renshuo Chi, Huazhi School of Renewable Energy Shenyang Institute of Engineering Liaoning Shenyang110136 China Liaoning Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Shenyang110136 China

In this paper, a two-layer optimization calculation method is proposed to improve the practical application efficiency of the integrated energy system and to improve the different problems of power flow calculation. Firstly, the power flow model is constructed and the optimization function is established based on indicators such as economy and environmental protection. The two-layer optimization method is proposed by combining the quadratic programming method and the particle swarm algorithm. Then, the obtained operating conditions of each energy equipment are used as the input of the power flow. The processing of each device and the energy flow of the power flow network are calculated and the effectiveness of the algorithm is verified by MATLAB power analysis. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： MATLAB

来源：评论

学校读者我要写书评

暂无评论

Photovoltaic power prediction model based on EMD-KPCA-GRU 8

Photovoltaic power prediction model based on EMD-KPCA-GRU

引用

8th International Conference on Energy system, Electricity, and Power, ESEP 2023

作者： Chi, Huazhi Jiang, He Zhao, Yan School of Renewable Energy Shenyang Institute of Engineering Liaoning Shenyang110136 China Liaoning Key Laboratory of Regional Multi-energy System Integration and Control Liaoning Shenyang110136 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

With the aim of enhancing the accuracy of PV power forecasting, a PV power prediction model has been presented based on the EMD-PKCA-GRU neural network. Firstly, the sequence of four meteorological factors constraining the output power of photovoltaic power generation is decomposed using the empirical model decomposition method. The non-stationary nature of the meteorological factor sequences is reduced. Next, feature extraction is conducted from decomposed sequences using kernel principal component analysis (KPCA) methods. This eliminates the redundancy of the original sequence and reduces the dimensionality of the model input. Finally, the Gated Recurrent Unit (GRU) is established, using the GRU to predict PV power generation. The validation was conducted using the 2021 data from the Trina 1B power station in the DKASC dataset from Australia. The outcome shows that the prediction accuracy is higher than the traditional model. © 2024 SPIE.

关键词： Solar energy

来源：评论

学校读者我要写书评

暂无评论

Research and Application of Infrared Radiation Measurement for Asymmetric Translucent Material Based on Three Different Substrate 11th

Research and Application of Infrared Radiation Measurement f...

引用

11th International Conference on Signal and Information Processing, Network and Computers, ICSINC 2023

作者： Sun, Tengfei Zhao, Xin Liu, Qingzhi Yang, Juhan Liu, Jinshan Beijing Key Laboratory for Space Thermal Control Technology Beijing Institute of Spacecraft System Engineering Beijing100194 China International Cooperation Center of China Aerospace Beijing100037 China

ISBN: (纸本)9789819721191

The temperature level of the asymmetric translucent primary mirror in a diffraction imaging system is highly sensitive to the radiation environment of its surroundings. In order to ensure the temperature level of the primary mirror on-orbit, it is necessary to obtain its accurate infrared radiation parameters. Based on analysis of the radiometer measurement system, a mathematical model for infrared radiation parameters of asymmetric translucent materials is established in this paper. A new method for measuring infrared radiation parameters is proposed, which three different emissivity materials are used as substrate, and infrared radiation parameters of the translucent primary mirror are obtain by solving the mathematical model with the measuring results. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Diffraction

来源：评论

学校读者我要写书评

暂无评论

A Novel Method for Repairing Missing Data of Bearing Vibration Signals Based on Compressed Sensing 2nd

A Novel Method for Repairing Missing Data of Bearing Vibrati...

引用

2nd International Conference of Mechanical system Dynamics, ICMSD 2023

作者： Wang, Haiming Liu, Yongqiang Yang, Shaopu Li, Qiang School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing010044 China State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures Shijiazhuang Tiedao University Shijiazhuang050043 China

ISBN: (纸本)9789819980475

The theory of compressed sensing is introduced to solve the repairing of missing data collected in PHM monitoring. An improved measurement matrix is proposed to optimize the conventional measurement matrix to increase the uncorrelation between the observation matrix and the sparse basis. Then a sparse representation of the vibration signal through discrete cosine transform (DCT) is utilized to sparse the noisy vibration signal. Finally, the orthogonal matching pursuit (OMP) algorithm is employed to reconstruct the missing signal. The method validation results show that the signal repaired by the proposed method agrees well with the original signal in the time domain, and the signal reconstructed by the optimized observation matrix has higher accuracy than the signal reconstructed by the initial observation matrix. Under different missing rates, the reconstruction error of the proposed method is smaller than other comparison methods. This shows the effectiveness and advantages of the proposed missing data recovery method. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Compressed sensing

来源：评论

学校读者我要写书评

暂无评论

Lipidomic investigation of the protective effects of Polygonum perfoliatum against chemical liver injury in mice

引用

Journal of Integrative Medicine 2023年第3期21卷 289-301页

作者： Lei Peng Hua-guo Chen Xin Zhou Key Laboratory for Information System of Mountainous Areas and Protection of Ecological Environment Guizhou Normal UniversityGuiyang 550001Guizhou ProvinceChina Guizhou Engineering Laboratory for Quality Control&Evaluation Technology of Medicine Guizhou Normal UniversityGuiyang 550001Guizhou ProvinceChina Research Center for Quality Control of Natural Medicine Guizhou Normal UniversityGuiyang 550001Guizhou ProvinceChina

Objective:Recent investigations have demonstrated that Polygonum perfoliatum *** protect against chemical liver injury,but the mechanism behind its efficacy is still ***,we studied the pharmacological mechanism at work in *** protection against chemical liver ***:To evaluate the activity of *** against chemical liver injury,levels of alanine transaminase,lactic dehydrogenase,aspartate transaminase,superoxide dismutase,glutathione peroxidase and malondialdehyde were measured,alongside histological assessments of the liver,heart and kidney tissue.A nontargeted lipidomics strategy based on ultra-performance liquid chromatography quadrupoleorbitrap high-resolution mass spectrometry method was used to obtain the lipid profiles of mice with chemical liver injury and following treatment with ***;these profiles were used to understand the possible mechanisms behind ***'s protective ***:Lipidomic studies indicated that *** protected against chemical liver injury,and the results were consistent between histological and physiological *** comparing the profiles of liver lipids in model and control mice,we found that the levels of 89 lipids were significantly *** animals receiving *** treatment,the levels of 8 lipids were significantly improved,relative to the model *** results showed that *** extract could effectively reverse the chemical liver injury and significantly improve the abnormal liver lipid metabolism of mice with chemical liver injury,especially glycerophospholipid ***:Regulation of enzyme activity related to the glycerophospholipid metabolism pathway may be involved in the mechanism of ***'s protection against liver injury.

关键词： Lipidomics Polygonum perfoliatum L. Liver injury Mice Herbal medicine

来源：评论

学校读者我要写书评

暂无评论

A hybrid wind power prediction model based on seasonal feature decomposition and enhanced feature extraction

引用

Energy and AI 2024年第4期18卷 368-379页

作者： Weipeng Li Yuting Chong Xin Guo Jun Liu School of Automation and Information Engineering Xi’an University of TechnologyNo.5 Jinhua South RoadXi’an710048ShaanxiChina Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing No.5 Jinhua South RoadXi’an710048ShaanxiChina

Efficient and accurate wind power prediction is crucial for enhancing the reliability and safety of power *** data-driven forecasting methods are regarded as an effective ***,the inherent randomness and nonlinearity of wind power systems,along with the abundance of redundant information in measurement data,present challenges to forecasting *** integration of precise and efficient techniques for data feature decomposition and extraction is essential in conjunction with advanced driven data-forecasting *** on the seasonal variation characteristics of wind energy,a hybrid wind power prediction model based on seasonal feature decomposition and enhanced feature extraction is *** effectiveness and superiority of the proposed method in predictive accuracy are demonstrated through comprehensive multi-model experiment comparisons.

关键词： Wind power prediction Data-driven Hybrid model Seasonal feature decomposition Gated recurrent networks Attention mechanism

来源：评论

学校读者我要写书评

暂无评论

Target Recognition Inference Based on Knowledge Graph and Graph Neural Network

Target Recognition Inference Based on Knowledge Graph and Gr...

引用

2024 China Automation Congress, CAC 2024

作者： Li, Wei Xu, Hongfeng Li, Yuan Beijing Institute of Technology Beijing China National Key Laboratory of Complex System Control and Intelligent Agent Cooperation Beijing China Beijing Electro-Mechanical Engineering Institute Beijing China

ISBN: (纸本)9798350368604

In complex environments with vast and diverse information sources, target recognition serves as a crucial precursor to situational analysis, providing the foundation for further decision-making and analysis. Traditional algorithms for target recognition often rely on human experience and rules, necessitating expert knowledge and subjective judgments, which introduces uncertainties. This paper introduces a method for target recognition inference, leveraging Situation Knowledge Graph Convolutional Neural Network (SKGCN). By employing active and passive radar sensor data in complex scenarios, the algorithm processes inputs within a self-constructed situational knowledge graph. It derives vector representations of target entities through aggregation operations among neighboring nodes and extracts perceptual data vectors using the embedding layer. The algorithm calculates the alignment between sensor data and target entities, facilitating target recognition and inference in complex scenarios. Simulation results confirm the effectiveness of the proposed approach. © 2024 IEEE.

关键词： Knowledge graph

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis of Rolling Bearings Under Variable Speed Conditions Based on Order Analysis

Fault Diagnosis of Rolling Bearings Under Variable Speed Con...

引用

TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Liu, Guiyi Zhang, Chao Wu, Le Liu, Tongtong Ouyang, Bing School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory of Intelligent Diagnosis and Control of Mechatronic System Baotou014010 China

ISBN: (纸本)9783031702341

To address the issue of bearing fault diagnosis without speed signal, a phase-ratio analysis method based on speed tracking is proposed. Firstly, the Short-Time Fourier Transform (STFT) is employed to obtain a time-frequency map. Then, the rotation frequency is calculated based on the parameters of the bearings, as well as the speed range. Subsequently, the speed matching tracking method is utilized to track the rotation frequency from the time-frequency map, followed by linear fitting and resampling to approximate the speed signal. Finally, the obtained signal is angularly sampled and subjected to FFT spectral analysis to obtain the order ratio spectrum. Based on the features of the order ratio spectrum, bearing faults are diagnosed. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Roller bearings

来源：评论

学校读者我要写书评

暂无评论

L1adaptive controller design for a tail fin controlled fixed wing unmanned aerial vehicle 13

L1adaptive controller design for a tail fin controlled fixed...

引用

13th EASN International Conference on Innovation in Aviation and Space for Opening New Horizons

作者： Demirli, Alican Koc, Ilker Murat Kurkcu, Burak Aselsan INC. Yenimahalle Ankara Turkey Department of Mechanical Engineering Istanbul Technical University Istanbul Turkey Mechanical System Control Laboratory UC Berkeley CA United States

The aim of this study is to design L1 adaptive controller, which is one of the robust control methods that can overcome model uncertainties, disturbances and noises, for a fixed-wing unmanned aerial vehicle (UAV) with tail fin controlled. In this context, first of all, the decoupled equations of motion of the six-degrees-of-freedom system are derived for the roll, pitch and yaw channels of the UAV. Then, the performance of the controller is demonstrated by simulation results for linearized system representation. By adding parameter errors to the system in question, the feature of tracking the given angle commands are analyzed. It has been observed that the L1 adaptive control structure exhibits rapid adaptation even in presence of system uncertainties. Finally, the controller is applied to the nonlinear system and operated throughout the entire flight envelope. © Published under licence by IOP Publishing Ltd.

关键词： Fixed wings

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：