检索结果-内蒙古大学图书馆

IEEE International Conference on Mechatronics and Automation

作者： Youjun Yue Lixin Li Hongjun Wang Hui Zhao Tianjin Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

In view of the damage of transmission line short-circuit faults and low fault identification rate, A novel fault identification method based on variational mode decomposition-fuzzy entropy and improved grey wolf algorithm - kernel extreme learning machine is proposed. First, the VMD is used to decompose the three-phase current after the fault to obtain a series of three-phase stable modal components; secondly, the fuzzy entropy value of each group of components is calculated separately as the fault characteristics of the transmission line; Finally, The fault characteristics of the transmission line are input to the kernel extreme learning machine for training to obtain the diagnosis model. The experimental results show that the method is not affected by the distance of the fault, the initial phase angle of the fault and the transition resistance, and can accurately identify the fault type.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Path Planning for Mobile Robots Based on Improved RRT Algorithm 17

Path Planning for Mobile Robots Based on Improved RRT Algori...

引用

17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Shao, Lei Liu, Hanze Chen, Chao Du, Dongdong Li, Ji Liu, Hongli Tianjin University of Technology Binshui Xidao 391 Tianjin Key Laboratory for Control Theory Applications in Complicated System Tianjin300384 China Institute of Data Management and Application China Academy of Industrial Internet Beijing100020 China

ISBN: (纸本)9781728164151

Aiming at the shortcomings of the basic RRT algorithm, such as the random search ability is relatively strong, and the calculation result is usually not the shortest path, etc., an improved RRT path optimization algorithm is proposed, which uses the ant colony algorithm to obtain the basic RRT algorithm. The path is iterated and optimized, and eventually converges to a shortest path, improving the efficiency of planning the shortest path in advance, and conducting in-depth research on this algorithm. A large number of simulation results show that the improved algorithm has certain feasibility and effectiveness. In multiple iterations, it can eventually converge to a path with a better distance. © 2020 IEEE.

关键词： Motion planning

来源：评论

学校读者我要写书评

暂无评论

A Multi-Objective Optimization Algorithm: Power system Hybrid Static Economic Dispatch with Wind Energy

SSRN

引用

SSRN 2022年

作者： Qu, Linan Li, Lingling Tseng, Ming-Lang Chen, Chao Lim, Ming K. State Key Laboratory of Reliability and Intelligence of Electrical Equipment Hebei University of Technology Tianjin300130 China Nanjing210003 China Institute of Innovation and Circular Economy Asia University Taiwan Department of Medical Research China Medical University Hospital China Medical University Taichung Taiwan Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin300384 China Adam Smith Business School University of Glasgow United Kingdom

This study proposes a novel multi-objective optimization based on improved pathfinder algorithm (IPFA) algorithm and contributes to build a hybrid static dynamic economic dispatch with wind energy. The novel IPFA optimizes the built hybrid static economic dispatch model, while considering inequality and equality constraints during the model solving process. Especially, new energy system reduces the fuel consumption and operation cost of the system;however, the randomness of renewable energy output destroys the stability of the system. The upper limit of wind power grid connection is limited by the permeability constraint, and the constraints such as forbidden operation area constraint and slope rate constraint are considered. The solution speed and stability of the IPFA algorithm are improved through introducing Kent map initialization, nonlinear adaptation factor, and following correction strategy. The validity of the built model and the optimization performance of the proposed method is verified by two cases. The test results reveal that the operation cost obtained by the IPFA considering wind energy is 9.3% and 7.5% lower than that without considering wind energy. The novel method contributes in ensuring the economy and stability of the power system and improving the utilization rate of renewable energy. © 2022, The Authors. All rights reserved.

关键词： Electric load dispatching

来源：评论

学校读者我要写书评

暂无评论

application of Hybrid Energy Storage Device in High Power Direct-current Power Supply

Application of Hybrid Energy Storage Device in High Power Di...

引用

IEEE International Conference on Mechatronics and Automation

作者： Yue Liu Chunjie Wang Peng Chen Jinliang Yin Tianjin Complex System Control Theory and Application Key Laboratory School of Electrical and Electronic Engineering Tianjin University of Technology Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

The drop-away current of 1500V low-voltage direct-current circuit breaker used in metro DC traction power supply system needs to be checked regularly. The instantaneous power is very high when the detection device is working, and the field power supply is often difficult to meet the requirements. Therefore, an energy storage unit is needed to supply power to the detector. In this paper, a design scheme of high-power DC power supply with supercapacitor and battery as energy storage is proposed, and the energy management and discharge control strategies are studied in theory and simulation, which verify the effectiveness and feasibility of the scheme.

关键词： Low voltage Power supplies Circuit breakers Supercapacitors Hybrid power systems Mathematical model Integrated circuit modeling

来源：评论

学校读者我要写书评

暂无评论

Design of a Capsule Robot system for Gastric Hemorrhage Detection using Luminol

Design of a Capsule Robot System for Gastric Hemorrhage Dete...

引用

IEEE International Conference on Mechatronics and Automation

作者： Yuchen Mao Jian Guo Shuxiang Guo Qiang Fu Tianjin Key Laboratory for Control Theory & Application Complicated Systems and Intelligent Robot Laboratory School of Electrical Engineering and Automation Tianjin University of Technology Binshui Xidao Extension 391 Tianjin China Shenzhen Institute of Advanced Biomedical Robot Co. Ltd No.12 Ganli Sixth Road Jihua Street Longgang District Shenzhen China Key Laboratory of Convergence Medical Engineering System and Healthcare Technology The Ministry of Industry and Information Technology School of Life Science Beijing Institute of Technology No.5 Zhongguancun South Street Beijing China

Gastric hemorrhage in upper gastrointestinal bleeding is an obvious indicator of deteriorating gastric disease. This paper proposes a capsule robot system for detecting bleeding in the stomach. The patient ingests a capsule robot containing luminol reagent, which detects bleeding in the stomach via chemiluminescence. The MCU receives the optical sensor signal, and the data is transmitted via radio frequency. The external lower computer receives and forwards the data to the upper computer for processing and display. The data is used to determine the presence and amount of stomach bleeding. Chemiluminescence is an excellent sensor, requiring no external energy supply, and demonstrating excellent sensitivity and selectivity. Combining chemical and electronic sensors presents opportunities for further development. Capsule robot detection reduces the discomfort and risk of secondary injury associated with traditional endoscopy. This paper establishes an experimental platform using porcine blood to simulate human blood, demonstrating the feasibility of the system.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Automatic Sleep Spindle Detection and Analysis in Patients with Sleep Disorders 1

引用

2nd International Workshop on Human Brain and Artificial Intelligence, HBAI 2020 held in Conjunction with IJCAI-PRICAI 2020

作者： Chen, Chao Zhu, Xuequan Belkacem, Abdelkader Nasreddine Lu, Lin Hao, Long You, Jia Shin, Duk Tan, Wenjun Huang, Zhaoyang Ming, Dong Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin300072 China Key Laboratory of Complex System Control Theory and Application Tianjin University of Technology Tianjin300384 China Department of Computer and Network Engineering College of Information Technology UAE University Al Ain15551 United Arab Emirates Zhonghuan Information College Tianjin University of Technology Tianjin300380 China Department of Electronics and Mechatronics Tokyo Polytechnic University Atsugi243-0297 Japan School of Computer Science and Engineering Northeastern University Shenyang110189 China Department of Neurology Xuanwu Hospital Capital Medical University Beijing100088 China

ISBN: (数字)9789811612886

ISBN: (纸本)9789811612879

Nowadays, Sleep disorder is a common disease, and spindle spindles are important features of the second stage non-rapid eye movement (NREM) sleep. In this paper, we propose an improved automatic detection method of spindles based on wavelet transform. The spindles automatic detector is mainly composed of wavelet transform and clustering. We collected the electroencephalography (EEG) signals of six patients with sleep disorders all night for ten hours, and then preprocessed the data and other operations, and then used our improved method to detect the sleep EEG signals by spindles. By comparing with the previous automatic detection method not improved and another automatic detection method, the results show that the accuracy of sleep spindles detection can be effectively improved. The accuracy of the improved detector is 5.19% higher than before, and 9.7% higher than that of another method based on amplitude threshold. Finally, we made a simple comparison between people with sleep disorders and normal people. We found that there were significant differences in spindle density between people with sleep disorders and people without sleep disorders. The average spindle density in the normal population averaged 2.59 spindles per minute. People with sleep disorders had an average spindle density of 1.32 spindles per minute. In future research, our research direction is to improve the accuracy of spindles automatic detection by improving the spindles detector and study the difference of spindles between patients with sleep disorders and normal people in a large number of samples, so that the difference of spindles can be used as the basis for the diagnosis of sleep disorders. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Wavelet transforms

来源：评论

学校读者我要写书评

暂无评论

application of Difficult Sample Mining based on Cosine Loss in Face Recognition

Application of Difficult Sample Mining based on Cosine Loss ...

引用

IEEE International Conference on Mechatronics and Automation

作者： Enzeng Dong Yifan Qiao Zufeng Zhang Complex System Control Theory and Application Key Laboratory Tianjin University of Technology(TJUT) 391Binshui Xidao Xiqing DistrictTianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

Due to the development of deep convolutional neural networks, face recognition has made great progress, and its main goal is how to improve feature recognition capabilities. In this regard, several loss functions based on angular boundaries have been proposed to increase the feature margin between different classes. Although very good results have been achieved in this direction, there are still some problems. These loss functions only expand the feature margin from the perspective of real classification in training, and do not provide distinguishability for misclassified samples. In order to solve this problem, this paper improves on the original cosine loss function, and implements feature learning in the direction of difficult samples based on misclassified feature vectors.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The junction temperature measurement of insulated gate bipolar transistor based on multi-layer feed -forward neural network is presented

The junction temperature measurement of insulated gate bipol...

引用

IEEE International Conference on Mechatronics and Automation

作者： Chao Dong Peiye Mao Complex System Control Theory and Application Key Laboratory Tianjin University of Technology(TJUT) 391 Binshui Xidao Xiqing District Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

For large power flow type insulated gate bipolar transistor (IGBT) saturation voltage drop and non-linear relation between the collector current and junction temperature of junction temperature prediction problem, set up a big electric saturated pressure drop down IGBT test system, access to settle moderate collector current and saturation nonlinear relation between the pressure drop curve, analyses the relation curve change rule the corresponding physical mechanism. The error back propagation (BP) neural network model was established by using Matlab software to predict the junction temperature. The comparison with the prediction results of the polynomial mathematical model shows that the relative error and prediction error of the neural network model are smaller than that of the polynomial mathematical model, and the prediction accuracy of the junction temperature is higher. It shows the feasibility of neural network for junction temperature prediction, so BP neural network model can be given priority when selecting junction temperature prediction model.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Research on the control system of six joint industrial robot based on CPAC

Research on the control system of six joint industrial robot...

引用

IEEE International Conference on Mechatronics and Automation

作者： Chao Dong Bang Xie Xin Shao Complex System Control Theory and Application Key Laboratory Tianjin University of Technology(TJUT) 391 Binshui Xidao Xiqing District Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

The defects of the existing commercial robot control system are analyzed and the feasibility of the open control system is studied. The robot control system was designed based on the CPAC development platform with the six-joint robot as the research object. Firstly, a kinematic model of the robot was established by the d-h linkage coordinate system method, and its motion control was described in detail from two aspects of forward and inverse kinematics. Secondly, the inverse kinematics of the robot was solved by using the RPY description method and PIPER criterion, and the correctness of the robot kinematics model was verified. Third, the robot control system software design. Finally, the function modules of the control system are verified through experiments. The experiments show that the robot runs with a small error of pose and posture, which can meet the requirements of the control system and meet the expected design objectives.

关键词：

来源：评论

学校读者我要写书评

暂无评论

UAV Remote Sensing Image Mosaic Technology Combined with Improved SPHP Algorithm

UAV Remote Sensing Image Mosaic Technology Combined with Imp...

引用

IEEE International Conference on Mechatronics and Automation

作者： Jianwei Leng Sining Wang Tianjin Key Laboratory of Complex Control Theory &Application Tianjin University of Technology Binshui Xidao 391 Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

The paper proposes an improved algorithm, for the problem that SPHP algorithm is not suitable for the UAV Remote sensing image mosaic algorithm because it is susceptible to geomorphic factors, resulting in deformation or ghosting. The algorithm firstly extracts feature points by combining SURF algorithm and Harris algorithm. The obtained feature points are coarsely matched by KNN algorithm, then matched by PROSAC algorithm. Finally, the weight coefficient is introduced to calculate the spatial transformation model of the image overlap region. This model replaces the original spatial model of SPHP algorithm. The ghosting of the image overlap area is reduced, and the stitched image is caused to have a smaller deformation. The final result shows that this improved SPHP algorithm can effectively remove the ghost image of the stitched image and generate better stitching results.

关键词：

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：