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16th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2021

作者： Chen, Yujia Wang, Liqing Xu, Guangda School of Mathematics and Statistics Xi’an Jiaotong University Xi’an China Infrared Division Wuhan Huazhong Numerical Control Co. Ltd. Wuhan China National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan China

ISBN: (纸本)9789811912528

Due to COVID-19, intelligent thermal imagers are widely used all over the world. Since intelligent thermal imagers usually require real-time temperature measurement, it is significant to find a method to quickly and accurately detect human faces in thermal infrared images. This paper mainly proposes two different methods. One is to use image processing methods and face detected from visible images to determine the position of the face in the infrared image, while the other is to use target detection algorithms on infrared images, including YOLOv3 and Faster R-CNN. This paper uses the two methods on a self-collected dataset containing 944 pairs of visible and infrared images and observes the robustness of methods by adding random noise to images. Experiments show that the first one has much lower latency and the latter one has higher accuracy in both cases. © 2022, Springer Nature Singapore Pte Ltd.

关键词： Face recognition

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Formal Verification of Key Function of a New Type of Train control system Based on Timed Automata 27

Formal Verification of Key Function of a New Type of Train C...

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27th IEEE International Conference on Intelligent Transportation systems, ITSC 2024

作者： Li, Aiying Liu, Yu Yuan, Lei Wei, Guodong Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing China 100044 School of Automation and Intelligence Beijing Jiaotong University Beijing China 100044

ISBN: (纸本)9798331505929

Due to the harsh environment and rare human presence in the western region, compared with existing train control systems, a new type of train control system(CTCSn) no longer has interval trackside circuits and changes the traditional structure of 'ground equipment as the core'. In order to verify the correctness of CTCS-n specifications and verify whether the system meets reliability requirements, this paper proposes a modeling and validation method based on SysML and timed automata(TA). Firstly, the newly added train integrity inspection function in CTCS-n is selected as the research object, and the SysML sequence diagram and activity diagram are used for modeling based on its scene characteristics. According to the conversion rules, the SysML model is converted into the corresponding timed automata network model, which is simulated and verified by using the UPPAAL verification tool. Then the faults of the train integrity function are categorized, and each type of faults is injected into its scenario model to verify its scenario function failure. And the integrity loss fault is injected into the level conversion scenario to verify the impact of the faults on the scenario realization. The results show that the system functional requirements and fault handling meet the system specification requirements. © 2024 IEEE.

关键词： Formal verification

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research on the identification method of heavy haul railway rail surface injury study based on the fusion of vibration and profile data 6

Research on the identification method of heavy haul railway ...

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6th International Conference on Information Science, Electrical, and Automation engineering, ISEAE 2024

作者： Meng, Xiangrui Sun, Yongkui Luo, Chenshuo Yang, Fengbin An, Yuntong School of Automation and Intelligence Beijing Jiaotong University Beijing100044 China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong University Beijing100044 China

ISBN: (纸本)9781510682924

Due to the heavy haul rail's large single train capacity and strong impact on the track, the rails of heavy haul rail are prone to injuries, and the accurate detection and identification of injuries is the basis of intelligent operation and maintenance of the rails of heavy haul rail. However, the existing rail surface injury recognition methods mainly based on machine vision have the disadvantages of strong noise and limited field of view. Therefore, this paper proposes a detection method based on the fusion of profile data and vibration signals. The profile data has high accuracy, but it has the disadvantages of low detection rate and low accuracy of a single profile. The vibration signal is easy to measure, but it is easy to be interfered, and the vibration signals of some injuries will reflect the same characteristics. The respective defects are overcome by fusion of the two. The experimental results show that the detection accuracy is effectively improved after the fusion of the two. The vibration signals are extracted and dimensionality reduced using stacked self-coding network, and then input into the classifier to obtain the classification results based on the vibration data. At the same time, the profile data and standard rails are matched, and then the wear sequence is generated by the DTW algorithm, and then the features are extracted by the PCA algorithm and classified to obtain the results based on the profile data. Finally, the two methods are fused at the decision level to obtain a new rail surface injury recognition and detection method based on the fusion of the two. © 2024 SPIE.

关键词： Data fusion

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Channel Capacity and Power Allocation of MIMO Visible Light Communication system

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China Communications 2023年第2期20卷 122-138页

作者： Shuai Ma Ruixin Yang Guanjie Zhang Hang Li Wen Cao Linqiong Jia Yanyu Zhang Shiyin Li Peng Cheng Laboratory Shenzhen 518055China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Shenzhen Research Institute of Big Data Shenzhen 518172China School of Electronics and Control Engineering Chang’an UniversityXi’an 710064China School of Electronic and Optical Engineering Nanjing University of Science and TechnologyNanjing 210094China National Digital Switching System Engineering&Technological Research Center Zhengzhou 450000China

In this paper,the channel capacity of the multiple-input multiple-output(MIMO)visible light communication(VLC)system is investigated under the peak,average optical and electrical power *** the channel capacity of MIMO VLC is shown to be a mixed integer programming *** address this open problem,we propose an inexact gradient projection method to find the channel capacity-achieving discrete input distribution and the channel capacity of MIMO *** we derive both upper and lower bounds of the capacity of MIMO VLC with the closed-form ***,by considering practical discrete constellation inputs,we develop the optimal power allocation scheme to maximize transmission rate of MIMO VLC *** results show that more discrete points are needed to achieve the channel capacity as SNR *** the upper and lower bounds of channel capacity are tight at low SNR *** addition,comparing the equal power allocation,the proposed power allocation scheme can significantly increase the rate for the low-order modulation inputs.

关键词： visible light communication MIMO discrete constellation inputs power allocation

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research on head way control of a guided transport system based on intersection condition evaluation

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Transportation Safety and Environment 2023年第4期5卷 29-35页

作者： Xiao Yu Yuan Cao Yongkui Sun Signal and Communication Research Institute China Academy of Railway Sciences Corporation LimitedBeijing 100081China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong UniversityBeijing 100044China National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China

ln order to ensure the safety and efficiency of the section tracking operation of a guided transport system,a safety headway control method of section tracking based on intersection conditions is proposed in this *** the difference of signal phase,the evaluation model of road conditions was established based on a fuzzy comprehensive evaluation method,*** on the artificial potential field method,the time-varying hybrid artificial potential field(TH-APF)method was proposed,and the tracking headway control algorithm was designed to realize the dynamic control of the tracking headway of the guide transport *** simulation results verified the effectiveness and applicability of the evaluation model of intersection road conditions;the tracking headway can be maintained at about 120 *** tracking headway control algorithm of guided transport vehicles can respond to the road conditions and avoid the local optimum of the artificial potential field method,thus improving the operating efficiency.

关键词： guided transport system intersection condition evaluation artificial potential field method tracking headway control

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Optimization of Energy-Saving Operation Strategy for Virtual Coupling based on DDPG

Optimization of Energy-Saving Operation Strategy for Virtual...

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2023 China Automation Congress, CAC 2023

作者： Lv, Wenbo Liu, Hongjie Lang, Yinghui Luo, Xiaolin School of Electronics and Information Engineering Beijing Jiaotong University Beijing China Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing China

ISBN: (纸本)9798350303759

Virtual coupling has emerged as a prominent research focus in the railway industry in recent years. At present, the existing research on synchronous operation of virtually coupled trains focuses on synchronization but neglects energy-saving. In pursuit of minimizing energy consumption, while ensuring synchronous operation, a virtual coupling speed curve optimization method based on deep deterministic policy gradient (DDPG) is proposed. Firstly, the virtually coupled trains are considered to build an optimization model aiming at energy-saving, synchronous parking, synchronous departure and on-time operation. Secondly, considering the characteristics of high state dimension and difficult solution of optimization model, a speed curve solving algorithm based on DDPG is designed. The optimal speed curve is considered a benchmark or reference for virtually coupled trains. Finally, the results of numerical experimental using the data of Beijing Metro Line demonstrate that the proposed method can reduce the traction energy consumption by 5.8% and the arrival time difference by 50%. In comparison to with genetic algorithms (GA), the optimization results are more energy-efficient and synchronous. © 2023 IEEE.

关键词： Curve fitting

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research on fault diagnosis of a railway point machine based on a multi-entropy feature extraction method and support vector machine

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Transportation Safety and Environment 2023年第4期5卷 58-66页

作者： Yunting Zheng Shaohua Chen Zhiyong Tan Yongkui Sun Automation and Electrical Engineering College Dalian Jiaotong UniversityDalian 116028LiaoningChina CRRC Dalian Co.Ltd. Dalian 116021LiaoningChina National Engineering Research Center of Rail Transportation Operation and Control System Beijing Jiaotong UniversityBeijing 100044China

A new fault diagnosis method is proposed to effectively extract the fault features of the sound signal of typical faults of ZDJ9 railway point machines.A multi-entropy feature extraction method is proposed by combing multi-scale permutation entropy and wavelet packet ***,empirical mode decomposition is performed on sound signals to obtain modal components with different time ***,multi-scale permutation entropy is extracted from these ***,the wavelet packet entropy of the sound signals of these sensitive nodes is obtained by analysing the reconstructed signals of the last layer *** the multi-scale permutation entropy and the wavelet packet entropy can distinguish the subtle features of the signal,the subtle features of the information among the high-dimensional features,ReliefF is ***,a support vector machine(SVM)is used to judge the original sismal can be obtained as the feature vector of the 2DJ9 iway point mnchine in ditterent states,To reduce the redundant fault type of a ZDJ9 rilway point machine.

关键词： railway point machine fault diagnosis sound signal support vector machine(SVM)

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An Adaptive Physics-Informed Neural Network with Two-Stage Learning Strategy to Solve Partial Differential Equations

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numerical Mathematics(Theory,Methods and Applications) 2023年第2期16卷 298-322页

作者： Shuyan Shi Ding Liu Ruirui Ji Yuchao Han School of Automation and Information Engineering Xi‘an University of TechnologyXi‘an 710048P.R.China National&Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Xi‘an 710048P.R.China Xi’an University of Technology Shannxi Key Laboratory of Complex System Control and Intelligent Information ProcessingXi‘an 710048P.R.China

Physics-Informed Neural Network(PINN)represents a new approach to solve Partial Differential Equations(PDEs).PINNs aim to solve PDEs by integrating governing equations and the initial/boundary conditions(I/BCs)into a loss ***,the imbalance of the loss function caused by parameter settings usually makes it difficult for PINNs to converge,*** they fall into local *** other words,the presence of balanced PDE loss,initial loss and boundary loss may be critical for the *** addition,existing PINNs are not able to reveal the hidden errors caused by non-convergent boundaries and conduction errors caused by the PDE near the ***,these problems have made PINN-based methods of limited use on practical *** this paper,we propose a novel physics-informed neural network,*** adaptive physics-informed neural network with a two-stage training *** algorithm adds spatio-temporal coefficient and PDE balance parameter to the loss function,and solve PDEs using a two-stage training process:pre-training and formal *** pre-training step ensures the convergence of boundary loss,whereas the formal training process completes the solution of PDE by balancing various loss *** order to verify the performance of our method,we consider the imbalanced heat conduction and Helmholtz equations often appearing in practical *** Klein-Gordon equation,which is widely used to compare performance,reveals that our method is able to reduce the hidden *** results confirm that our algorithm can effectively and accurately solve models with unbalanced loss function,hidden errors and conduction *** codes developed in this manuscript are publicy available at https://***/callmedrcom/ATPINN.

关键词： Physics informed neural networks partial differential equations two-stage learning scientific computing

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Understanding microstructure-property relationships of HPDC Al-Si alloy based on machine learning and crystal plasticity simulation

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Advances in Manufacturing 2024年第3期12卷 497-511页

作者： Qiang-Qiang Zhai Zhao Liu Ping Zhu State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China National Engineering Research Center of Automotive Power and Intelligent Control Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China School of Design Shanghai Jiao Tong UniversityShanghai200240People’s Republic of China

Al-Si alloys manufactured via high-pressure die casting(HPDC)are suitable for a wide range of ***,the heterogeneous microstructure and unpredictable pore distribution of Al-Si high-pressure die castings result in significant variations in the mechanical properties,thus leading to a complicated microstructure-property relationship that is difficult to ***,a computational framework incorporating machine learning and crystal plasticity method is *** framework aims to provide a systematic and comprehensive understanding of this relationship and enable the rapid prediction of macroscopic mechanical properties based on the ***,we select eight variables that can effectively characterize the microstructural features and then obtain their statistical ***,based on 160 samples obtained via the Latin hypercube sampling method,representative volume elements are constructed,and the crystal plasticity fast Fourier transformation method is executed to obtain the macroscopic mechanical ***,the yield strength,elastic modulus,strength coefficient,and strain-hardening exponent are used to characterize the stress-strain curve,and Gaussian process regression models and microstructural variables are ***,sensitivity and univariate analyses based on these machine-learning models are performed to obtain insights into the microstructure-property relationships of the HPDC Al-Si *** results show that the Gaussian process regression models exhibit high accuracy(R^(2) greater than 0.84),thus confirming the viability of the proposed *** results of sensitivity analysis indicate that the pore size exerts the most significant effect on the mechanical ***,the proposed framework can not only be transferred to other alloys but also be employed for material design.

关键词： High-pressure die casting(HPDC) Machine learning Crystal plasticity Aluminum alloys

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Quasi-Parallel Resonant Switched Capacitor DC-DC Converter with Continuous Voltage Regulation Capability

Quasi-Parallel Resonant Switched Capacitor DC-DC Converter w...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Qi, Jingjing Wu, Xuezhi Xu, Wenzheng Sun, Kai Tsinghua University State Key Laboratory of Power System Operation and Control Department of Electrical Engineering Beijing China Beijing Jiaotong University National Active Distribution Network Technology Research Center Beijing China

ISBN: (纸本)9798350376067

Resonant switched capacitor converters have the advantages of small size, light weight and high efficiency, but have poor voltage regulation ability. To overcome this problem, a quasi-parallel resonant switched capacitor DC-DC converter is proposed in this paper, which mainly incorporates a resonant switched capacitor converter with soft-switching and variable voltage ratio and a Buck converter. Most of the power can be transmitted by the resonant switched capacitor converter, while the Buck converter is responsible for output voltage regulation. In addition, the voltage ratio of the resonant switched capacitor converter can be flexibly changed base on the input voltage, which is beneficial for Buck converter to always handle a small portion of power. Furthermore, input voltage feedforward control is incorporated to suppress the input voltage disturbance. The proposed converter can not only continuously regulate the voltage over a wide range, but also perform high efficiency and achieve rapid dynamic response. The operating principle of the converter is introduced, the circuit characteristic is analyzed, and the correctness of the theoretical analysis is verified by experiments. © 2024 IEEE.

关键词： Capacitor bank

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