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10th Frontier Academic Forum of Electrical Engineering, FAFEE 2022

作者： Liu, Yulin Du, Mingxing Yin, Jinliang Wei, Yifan Tianjin Key Laboratory of Control Theory and Applications in Complicated System Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9789819934034

Silicon carbide has a wider band gap and higher interface trap density. The threshold voltage shift caused by bias temperature instability is a challenge to the reliability of SiC MOSFET. In practical applications, the threshold voltage will change in real time with the change of power loss and junction temperature caused by the cooling system. Therefore, it is necessary to monitor the threshold voltage shift considering BTI and junction temperature, which is of great significance to the reliability research of SiC MOSFET. In this paper, we first analyze the components and temperature sensitivity of SiC MOSFET on-state drain-source resistance, then study the influence mechanism of bias temperature instability on chip resistance, and finally propose to use SiC MOSFET chip drain-source on-state resistance to monitor the threshold voltage shift caused by the coupling of junction temperature and bias temperature instability. This method can directly obtain the shift threshold voltage through the chip drain source on state resistance. It is also suitable for SiC MOSFET modules with anti-parallel diodes. Considering the influence of temperature, this method can realize the accurate monitoring of threshold voltage under complex working conditions. © Beijing Paike Culture Commu. Co., Ltd. 2023.

关键词： Junction temperature

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Lightweight Neural Network-Based Infrared Image and Anomalous Heat Region Recognition for Electrical Equipment 18th

Lightweight Neural Network-Based Infrared Image and Anomalou...

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18th Annual Conference of China Electrotechnical Society, ACCES 2023

作者： Han, Zhikai Zhang, Jinglei Jia, Xin School of Electrical Engineering and Automation Tianjin University of Technology Tianjin300384 China Tianjin Key Laboratory of Complex System Control Theory and Application Tianjin300384 China

ISBN: (纸本)9789819710676

In order to accurately and quickly recognize electrical devices and abnormal heating parts under infrared conditions, we propose a lightweight neural network-based method for identifying electrical devices and their abnormal heating parts. First, we construct a fast target detection network for real-time detection. Second, we propose an efficient feature retention module to avoid the feature loss problem in multi-layer convolutional operations. In addition, we introduce an attention mechanism based on the coordinate information interaction strategy to localize the target more accurately. Finally, we use a lightweight weighted bidirectional feature pyramid network to improve the detection accuracy at different scales. Experimental results on a dataset of 12109 electrical infrared images containing six types of electrical devices and anomalously heated areas show that the proposed method achieves good results, with an average recognition accuracy of 93.9% and a processing speed of 222 frames/second. © Beijing Paike Culture Commu. Co., Ltd. 2024.

关键词： Infrared imaging

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Modal Fusion Sign Language Recognition Based on Swin Transformer Architecture 8

Modal Fusion Sign Language Recognition Based on Swin Transfo...

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8th International Conference on Image, Vision and Computing, ICIVC 2023

作者： Gao, Yujie Li, Yadong Liu, Bin Tian, Yifan Zhu, Minfeng Luo, Jian School of Electrical Engineering and Automation Tianjin University of Technology Tianjin China Tianjin University of Technology Tianjin Key Laboratory for Control Theory & Applications in Complicated System Tianjin China

ISBN: (纸本)9798350335231

Sign language plays an important role in information transmission and emotional communication between the hearing-impaired and the outside world. It is expressed through a rapid and complex combination of gestures, body postures and facial expressions. In this paper, Google's MediaPipe framework is used to extract and process key point information of hands. Depth features are used to supplement the RBG diagram. A framework of skeleton sensing multi-modal recognition suitable for complex scenes is proposed. This can be used to deal with the problem of sign language recognition of multi-modal information in different scenes. However, most of the existing sign language recognition methods are traditional convolutional networks and LSTM. Although they have excellent achievements in image recognition and video recognition, their application in sign language recognition does not conform to the characteristics of sign language. In this paper, a Swin Transformer model is used to process both depth information and RGB information. Finally, statistical data fusion method was used to fuse the depth prediction results with RGB prediction results. Experimental analysis shows that this method performs well in sign language recognition in complex scenes compared with existing methods. © 2023 IEEE.

关键词： Image recognition

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Master-slave game-based optimal operation of microgrids containing customer-owned photovoltaics 8

Master-slave game-based optimal operation of microgrids cont...

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

作者： Liu, Xinyue Ji, Yuehui Shi, Shaobo Liu, Junjie Gao, Qiang Xu, Zhao Tianjin Key Laboratory of Complex System Control Theory and Application TJ 300384 China School of Electrical Engineering and Automation Tianjin University of Technology TJ 300384 China

ISBN: (数字)9781510679801

ISBN: (纸本)9781510679795

Due to the dispersed and disorderly feathers of distributed photovoltaic (PV) power generation on the user side, the difficulties of the low-carbon transformation of the power grid and sustainable development of large-scale distributed PV power generation is increased. Based on a master-slave game, this article proposes an optimizing scheme for the operation of microgrids, where the users built PV and shared energy storages. Firstly, this paper introduces the operational framework of the system and the functions of micro-network operator (MNO) and load aggregator (LA). The optimization operation models for MNO and LA are modelled in the framework of Stackelberg master-slave game. The game relationship between MNO and LA is analyzed. Yalmip tool with the CPLEX solver are introduced to solve the differential evolution algorithm. Final, the effectiveness of the proposed method is verified in numerical examples. © 2024 SPIE.

关键词： Energy storage

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Tracking control in Presence of Obstacles and Uncertainties for Bioinspired Spherical Underwater Robots

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Journal of Bionic Engineering 2023年第1期20卷 323-337页

作者： Chunying Li Shuxiang Guo Jian Guo Graduate School of Engineering Kagawa UniversityTakamatsuKagawa761-0396Japan Key Laboratory of Convergence Medical Engineering System and Healthcare Technology the Ministry of Industry and Information TechnologySchool of Life Science and TechnologyBeijing Institute of TechnologyBeijing100081China Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems and Intelligent Robot Laboratory Tianjin University of TechnologyBinshui Xidao Extension 391Tianjin300384China

During marine missions,AUVs are susceptible to external disturbances,such as obstacles,ocean currents,etc.,which can easily cause mission failure or *** this paper,considering the strong nonlinearities,external disturbances and obstacles,the kinematic and dynamic model of bioinspired Spherical Underwater Robot(SUR)was ***,the waypoints-based trajectory tracking with obstacles and uncertainties was proposed for SUR to guarantee its safety and ***,the Lyapunov theory was adopted to verify the stability and the Slide Mode control(SMC)method is used to verify the robustness of the control *** addition,a series of simulations were conducted to evaluate the effectiveness of proposed control *** tests,including path-following,static and moving obstacle avoidance were performed which verified the feasibility,robustness and effectiveness of the designed control ***,a series of experiments in real environment were performed to verify the performance of the control *** simulation and experimental results of the study supplied clues to the improvement of the path following capability and multi-obstacle avoidance of AUVs.

关键词： Path following Obstacle avoidance Bioinspired.Spherical underwater robot(SUR) Lyapunov theory

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Tissue Surface-enhanced Raman Spectroscopy Combined with Machine Learning Algorithms for Rapid Detection of Alveolar Echinococcosis 25

Tissue Surface-enhanced Raman Spectroscopy Combined with Mac...

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25th IEEE China Conference on system Simulation Technology and its application, CCSSTA 2024

作者： Huang, Jiahui Zheng, Xiangxiang Lv, Guodong Li, Xiaojing Wu, Guohua Xu, Liang Tianjin University of Technology Tianjin Key Laboratory of Complex System Control Theory and Application Tianjin China The First Affiliated Hospital of Xinjiang Medical University State Key Laboratory of Pathogenesis Prevention and Treatment of High Incidence Diseases in Central Asia Urumqi China Beijing University of Posts and Telecommunications School of Electronic Engineering Beijing China

ISBN: (纸本)9798350366600

Alveolar echinococcosis (AE) remains a serious worldwide public health problem as a very harmful human tapeworm disease. Rapid and accurate diagnosis of AE is crucial for treatment and postoperative recovery. This study explored the applicability of tissue surface Raman spectroscopy (SERS) combined with machine learning for rapid AE detection. Specifically, liver tissue section samples were obtained by creating an AE mouse model and SERS spectra were acquired. Five kinds of machine learning methods were used to construct AE diagnosis model, among which the linear kernel support vector machine (SVM) model had the best classification result, and the accuracy rate reached 95.7%. Then, the linear SVM model was subjected to feature significance analysis, which demonstrated that the biochemicals corresponding to the spectra of 641,716 and 1372 cm-1 might be potential biomarkers. Gaussian noise is further added to test the noise interference resistance of different machine learning algorithms, and it is found that SVM with Gaussian radial basis function (RBF) kernel function has better noise interference resistance. The results show that tissue SERS spectroscopy combined with SVM algorithm for rapid detection of AE has a promising application. © 2024 IEEE.

关键词： Raman scattering

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Short Term Power Load Forecasting Method Based on VMD-ResNet 5

Short Term Power Load Forecasting Method Based on VMD-ResNet

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5th International Conference on Power and Energy Technology, ICPET 2023

作者： Li, Dahua Chen, Wenkai Wang, Sun Tian, He Chen, Hao Tianjin University of Technology Tianjin Key Laboratory of Complex System Control Theory and Application Tianjin China Tianjin Tongshi Zhiyan Technology Co. Ltd Tianjin China State Grid Tianjin Jinghai Power Supply Co. Ltd Tianjin China

ISBN: (纸本)9798350339673

The load of a region is often influenced by multiple factors, resulting in strong nonlinearity and temporal characteristics of load data, which increases the difficulty of accurately predicting load. To improve the accuracy of power load forecasting, this paper proposes a short-term power load forecasting method based on VMD-ResNet. Firstly, at the data level, the Variational Modal Decomposition (VMD) method is used to decompose historical loads and temperatures to obtain a more stable Intrinsic Mode Function (IMF). Then, different IMFs are integrated and input into the first stage prediction model along with seasonal and holiday information to extract internal features of the data for preliminary prediction;The second stage is a Deep Residual Network (ResNet) that uses the forecast data from the first stage as input to predict the load over the next 24 hours. The data adopts real load data from Panama City from January 2015 to June 2020. The average absolute percentage error (MAPE) of the VMD-ResNet load forecasting model is 1.3%. Compared with load forecasting networks such as SVR, LSTM, CNN-LSTM, ResNet, etc., the MAPE of the test set has decreased by 2.36%, 1.8%, 1.2%, and 0.8%, respectively. Experiments have shown that VMD-ResNet can deeply mine data characteristics and has good predictive performance. © 2023 IEEE.

关键词： deep learning deep residual network load forecasting variational mode decomposition

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Research on Detection system of Electronic Thermostat

Research on Detection System of Electronic Thermostat

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2021 China Automation Congress, CAC 2021

作者： Jie, Wang Zhu, Junchao Li, Zhiwei Tianjin Key Laboratory for Control Theory and Applications in Complicated System Tianjin University of Technology Tianjin China

ISBN: (纸本)9781665426473

As one of the core components of the engine cooling system, the electronic thermostat is in order to achieve the purpose of testing the performance of the electronic thermostat. This paper designs an electronic thermostat detection system. The system uses electrical proportional valves, solenoid valves, relays, acquisition controllers, industrial computers and other hardware devices. The software platform is built based on the Java development environment and MySQL database to realize the storage and display of test data, automatic testing and alarm processing. By detecting the motor current, external leakage differential pressure and flow characteristics, real-time data collection and analysis can be performed on the current value, the change of differential pressure and the flow conditions corresponding to the opening of the ball valve. After testing, this system can realize the inspection of the eligibility of the electronic thermostat, so as to verify whether the performance index of the electronic thermostat can reach the expected design. © 2021 IEEE

关键词： Software testing

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Time parameter measurement system for alternating current filament relay of railway signal lamp 4

Time parameter measurement system for alternating current fi...

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4th International Conference on Advanced Electronic Materials, Computers and Software Engineering, AEMCSE 2021

作者： Zhang, Baofeng Pang, Tao Li, Zhiwei Zhu, Junchao Tianjin University of Technology Tianjin Key Lab. for Control Theory Application Complicated Systems and Biomedical Robot Laboratory Tianjin China

ISBN: (纸本)9781665415965

Aiming at the tedious maintenance work of ac filament conversion relay of railway signal lamp unit, this paper designs a new online detection device for relay working state. By switching relay paths and relying on the collected data, contact voltage image fitting is performed during the conversion process, and time parameters are extracted by different method to obtain the conversion time. Compared with the traditional detection device, the operation and detection time of the device is short, flexible and convenient. © 2021 IEEE.

关键词： Railroads

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Research on the performance of distance measurement system based on binocular vision

Research on the performance of distance measurement system b...

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IEEE International Conference on Mechatronics and Automation

作者： Bibo Jiang Jianyuan Zhang Xueshuai Yang Zhiwei Li CNOOC Ener Tech Equipment Technology Co. Ltd Tianjin China Tianjin Key Laboratory for Control Theory and Applications in Complicated System Tianjin University of Technology Tianjin China

ISBN: (数字)9798350388077

ISBN: (纸本)9798350388084

Binocular vision is an important technique in 3D (three-dimensional) reconstruction. Two images captured by binocular camera are used to reconstruct 3D information according to the geometric relationship and optical imaging parameters of binocular camera. In binocular vision system, the focal length, base distance and measuring object distance are mutually restricted, and the measurement accuracy is different under different parameter configurations. In this paper, the parameter selection and measurement performance of binocular vision system are studied. A laser scanning binocular vision measuring device is constructed, and the binocular matching speed is accelerated by actively projecting laser line to the measured object. By extracting the center bright line of the laser bright line fringe in the image for stereo matching, parallax is obtained to calculate the distance of the object. By adjusting the system structure parameters, the influence of the system structure parameters on the ranging performance is analyzed and studied. In this paper, combining experimental analysis with theoretical analysis, the parameter setting conditions of binocular vision system high precision measurement are proposed. It helps to improve the performance of the ranging system by rationally designing the parameters of the binocular ranging system.

关键词： Performance evaluation Three-dimensional displays Accuracy Machine vision Measurement by laser beam Length measurement Cameras

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