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IEEE Asia Power and Energy engineering Conference (APEEC)

作者： Dongsheng Cai Xingyu Zhou School of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (数字)9798331517540

ISBN: (纸本)9798331517557

With the rapid development of Unmanned Aerial Vehicle (UAV) technology, the application of UAV in various fields is becoming more and more widespread. The use of magnetoresistive sensor arrays to optimize the stability and positioning accuracy of UAVs perched on power lines has become an important research direction. In this research, a power line optimization method for UAV perching based on magnetoresistive sensor array is proposed. It aims to optimize the power line feature extraction, recognition method and accurate positioning of UAV perching on power lines through magnetic field data acquisition and analysis. In this paper, normally distributed random noise is added to the magnetic field data to simulate geomagnetic field interference. The transmission line position deviation is set to 0.02 m. After optimization, the position error is reduced to 1.40%. And the current information in the transmission line can be measured at the same time, which reduces the current estimation error from 20.59% to 0.81%.

关键词： Power transmission lines Accuracy Noise Optimization methods Autonomous aerial vehicles Transmission line measurements Time measurement Magnetic fields Magnetoresistance Sensor arrays

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A Review on the Factors Influencing the Heat Dissipation of Tunnel Cables

A Review on the Factors Influencing the Heat Dissipation of ...

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IEEE Asia Power and Energy engineering Conference (APEEC)

作者： Sijie Cheng Dongsheng Cai Qi Huang School of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China

ISBN: (数字)9798331517540

ISBN: (纸本)9798331517557

This article aims to explore the thermodynamic properties of tunnel cables and their influencing factors. It begins by explaining the distribution and composition of tunnel cables. Then, it outlines the calculation methods for cable current-carrying capacity. The study examines how different laying methods affect heat dissipation performance. It also considers the impact of tunnel ventilation conditions. The distance between cables and tunnel walls is another factor studied. Additionally, the influence of tunnel humidity on heat dissipation is explored. The article proposes strategies to enhance cable heat dissipation efficiency and lifespan. These include optimizing cable laying methods, improving tunnel ventilation design, adjusting the distance between cables and tunnel walls, and controlling tunnel humidity. This research aims to provide references for studies related to tunnel cable heat dissipation.

关键词： Temperature distribution Thermodynamics Heat engines Urban areas Thermal engineering Humidity Voltage Ventilation Cables Resistance heating

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Study on dynamic wear evolution of modified gear rack considering the real-time variation of contact characteristics

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Wear 2025年 571卷

作者： Zeng, Liyuan Deng, Xingqiao Li, Fan Dong, Chenglong Wang, Shisong Yang, Hongjuan Tang, Chuan Li, Yuhang School of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China School of Mechanical and Electrical Engineering Chengdu University of Technology Chengdu610059 China

Tooth profile modification (TPM) is an essential process in the design of open gear rack, which plays an important role in improving the meshing performance and reducing the tooth surface wear. However, TPM and tooth surface wear cause significant alterations to the tooth profile, which in turn affects the contact characteristics on the tooth surface. This poses a significant challenge for predicting the dynamic wear evolution of modified gear rack. In this paper, a dynamic wear evolution model of modified gear rack considering the real-time variation of contact characteristics is proposed. Firstly, a wear model of gear rack under mixed elastohydrodynamic lubrication (EHL) is established, considering the lubrication state of the tooth surface. By incorporating the effects of TPM and tooth surface wear, a modified time-varying meshing stiffness (TVMS) model and a contact load distribution model are proposed. Based on the proposed model, the dynamic wear evolution of modified gear rack under mixed EHL is accurately predicted, by employing a cyclic iterative method to determining the real-time contact characteristics under the wear degradation of the tooth profile. After validating the effectiveness of the model, the dynamic wear evolution of the gear rack driving mechanism of a rack rail train is investigated, and a quantitative analysis of the effect of TPM parameters on wear depth is conducted. This study holds significant implications for unveiling the wear failure mechanism of modified gear rack and optimizing the design of TPM parameters. © 2025 Elsevier B.V.

关键词： Gear teeth

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Reinforcement learning control of lateral vibration of high-speed train carbody 4

Reinforcement learning control of lateral vibration of high-...

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2024 4th International Conference on Mechatronics, automation and Intelligent Control, MAIC 2024

作者： Mou, Ruqiang Chen, Chunjun School of Mechanical Engineering Southwest Jiaotong University Sichuan Chengdu610031 China Department of Automation Engineering The Engineering & Technical College of Chengdu University of Technology Sichuan Leshan614000 China

Increasing speed is one of the effective ways to raise high-speed train (HST) transportation capacity. However, increasing speed leads to greater vibration of HST with passive suspension, which can reduce the smoothness and safety of HST. Thus, a twin delayed deep deterministic policy gradient (TD3) control strategy was designed to reduce the lateral vibration of the HST carbody. The 3-degree-of-freedom (DOF) and 17-DOF models were utilized in designing the TD3 controller and simulation, respectively. In addition, the ballastless track spectrum of the Chinese high-speed railway was utilized to obtain the irregularities of the track. A reward function containing cost and penalty was designed to raise TD3 controller training efficiency. A linear quadratic optimal cost function and a step penalty function were designed, respectively. The control effect of the TD3 strategy was studied by simulation. The results indicate that TD3 can effectively reduce root-mean-square (RMS) and peak values for lateral acceleration at the front and rear ends of the HST carbody, and significantly improve the lateral smoothness of the HST carbody, which verifies validity of TD3 strategy. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Degrees of freedom (mechanics)

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Dynamic Programming Based Strategies of Future Crop Plant 24

Dynamic Programming Based Strategies of Future Crop Plant

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2024 5th International Conference on Big Data Economy and Information Management, BDEIM 2024

作者： Zhang, Beining Wang, Xueying Deng, Yongkang Chen, Kai Liu, Qinglang Measurement and Control Technology and Instruments School of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu China School of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu China

ISBN: (纸本)9798400711862

In this paper, we develop a decision model based on dynamic programming to create an optimal crop plan for 2024-2030 in rural northern China. Considering different marketing scenarios, uncertainties, and crop substitutions and complementarities, this paper solves the problem with three sub-problems. First, the optimal cropping plan for 2024-2030 is calculated based on the cropping scenario for 2023. It is assumes that expected sales, cropping costs, yields and marketing prices are stable. Secondly, a multi-objective planning model was developed. It aimed at profitability and stability and took into account uncertainties. Finally, the planting plan was further optimised and it considered crop substitutability and complementarity, and the relationship between expected sales and selling prices and planting costs. Through dynamic planning and Monte Carlo simulation, this paper takes into account uncertainty and crop relationships and it solves the optimal crop planting plan for the years 2024-2030 with a maximum profit of about $7.737 million. Therefore, this paper proposes a decision model based on dynamic programming and it takes into account various factors of the planting plan for the next seven years. An effective method is provided for solving the crop planting strategy problem in sustainable agricultural development. © 2024 Copyright held by the owner/author(s).

关键词： Dynamic Programming K-means Clustering Monte Carlo Simulation Spearman Correlation

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Optimization scheme for rapid analysis of copper ore grade using EDXRF

Optimization scheme for rapid analysis of copper ore grade u...

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2023 International Conference on Computer Application and Information Security, ICCAIS 2023

作者： Li, Wen Lai, Wanchang Chen, Dongdong Ma, Yutian Yang, Bingsong Zhang, Diancheng College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu610059 China National Key Laboratory of Ni&Co Associated Minerals Resources Development and Comprehensive Utilization China Gansu Jinchuan Intelligent Measurement and Control Technology Co. Ltd. China

ISBN: (纸本)9781510675032

In order to optimize the method and technology for the rapid determination of copper ore grade using Energy Dispersive X-ray Fluorescence (EDXRF), improve the accuracy of EDXRF analysis, guide the development and utilization of copper ore resources, and enhance production efficiency, the optimal operating conditions for the EDXRF analyzer were determined using Monte Carlo (MC) simulation and physical experiments. The recommended settings were a tube voltage of 40 kV and a tube current of 10 μA. Under these optimal conditions, the copper (Cu) content in various types of copper ore samples was analyzed. The copper ore was categorized into geological samples (including raw ore samples and tailings samples), copper concentrates, and matte. The correction of matrix effects was carried out using a binary regression method. Experimental results showed that the average absolute error of analyzing geological samples by EDXRF was 0.035%, with an average relative error of 4.08%. The average absolute error for analyzing copper concentrates was 0.238%, with an average relative error of 1.01%. For matte analysis, the average absolute error was 0.421%, with an average relative error of 1.01%. The accuracy and precision of the method meet the production requirements of enterprises, and it holds promising prospects for widespread application. © 2024 SPIE.

关键词： Ores

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Dynamics Characteristics Analysis of Rack Railway Guiding Equipment of Mountain Rack Railway Train with Considering Wheel-Rail Contact

Dynamics Characteristics Analysis of Rack Railway Guiding Eq...

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International Conference on Mechanical Design, ICMD 2023

作者： Wang, Haowen Xiang, Quanming Liu, Weiping Gao, Chang Liu, Jialin Wang, Shisong Deng, Xingqiao College of Mechanical and Electrical Engineering Chengdu University of Technology Sichuan Chengdu610059 China Sichuan Dujin Mountain Rail Transit Co. Ltd. Sichuan Chengdu611830 China Sichuan Shudao New System Rail Group Co. Ltd. Sichuan Chengdu610072 China School of Nuclear Technology and Automation Engineering Chengdu University of Technology Sichuan Chengdu610059 China

ISBN: (纸本)9789819709212

A multi-body dynamic simulation model is established to study the rack railway guiding equipment (RRGE) in the mountain rack railway train system. This model incorporates the effects of wheel rail-rack rail contact and linear spring damper, which can accurately depict the dynamic response of RRGE. Considering the factors such as train passing speed, vertical distance, and initial gear posture, the model is first applied to analyze the dynamic characteristics of the gear. Then according to the gear entry condition and gear rotational speed, the vibration response of RRGE when the gear passing through rollers is analyzed. Finally, the dynamic characteristics of gear and RRGE under two extreme conditions are comparatively analyzed, and a set of parameters are proposed to ensure the smooth transition of the train. The simulation results show that, to ensure the safety of the mountain rack railway train, it is recommended to set the vertical distance at 173 mm and the initial gear posture at tooth contact. Furthermore, when selecting the train passing speed, factors such as gear entry condition, train operation efficiency, and shock vibration level should be taken into consideration. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Railroads

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Research on the Remaining Useful Life Prediction Model of Complex Equipment 4

Research on the Remaining Useful Life Prediction Model of Co...

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4th International Symposium on Artificial Intelligence and Intelligent Manufacturing, AIIM 2024

作者： Tang, Lei Tang, Yifei Zhang, Junhao Liu, Mengjuan Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu China School of Information and Software Engineering University of Electronic Science and Technology of China Chengdu China Glasgow College University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798331541729

With the rapid advancement of artificial intelligence technology, the development of intelligent manufacturing has become an inevitable trend. Utilizing AI technology to ensure the safe operation of factories is a crucial aspect of smart factories. In particular, research focused on fault diagnosis and remaining useful life (RUL) prediction models based on machine learning has garnered significant attention from both academia and industry. This paper explores RUL prediction models for complex equipment, introduces four representative models, and analyzes their performance using two benchmark datasets, C-MAPSS and N-CMAPSS. Finally, the paper discusses the future research and application trends of artificial intelligence technology in complex equipment operation and maintenance. © 2024 IEEE.

关键词： Smart manufacturing

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Research on Application of Embedded AI in Fall Detection

Research on Application of Embedded AI in Fall Detection

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Artificial Intelligence, Networking and Information technology (AINIT), International Seminar on

作者： Yan Liu Xing Zhu College of Nuclear Technology and Automation Engineering Chengdu University of Technology Chengdu China College of Computers and Cyber Security Chengdu University of Technology Chengdu China

ISBN: (数字)9798350385557

ISBN: (纸本)9798350385564

The traditional elderly fall detection system has some shortcomings, such as high false alarm rate and large delay, which limits its reliability and practicability in practical application. In order to timely and accurately notify the guardian of the old man's fall information, a low-power fall detection system based on em-bedded artificial intelligence is proposed. The system is based on low-power ARM processor, coupled with low-power and small-volume MEMS acceleration sensor. By designing the overall structure of the system, the peripheral circuits of ARM processor and MEMS acceleration sensor, and writing embedded programs and embedded artificial intelligence algorithms, the core functions such as data acquisition, fall identification and fall state transmission are realized. In the experiment, an algorithm model of FDNet (Fall Detection Network) is proposed, and a lot of tests and evaluations are carried out. The experimental results show that the system can achieve 98% accuracy on embedded devices. In addition, the system also shows excellent environmental adaptability, low power consumption and small size, which makes it suitable for fall detection and early warning in various occasions. The successful application of the system is expected to provide effective protection for the health and safety of the elderly.

关键词： Micromechanical devices Seminars Power demand Accuracy Writing Feature extraction Security

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Common Mode Voltage Suppression of Three-to-Six-Phase Indirect Matrix Converter Based on 6-Virtual Vector Method 10

Common Mode Voltage Suppression of Three-to-Six-Phase Indire...

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10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia

作者： Ma, Kai Lu, Ke Guo, Jiling Xiao, Tianlong Southwest Jiaotong University College of Electrical Engineering Chengdu611756 China National Rail Transit Electrification and Automation Engineering Technology Research Center Chengdu611756 China

ISBN: (纸本)9798350351330

This article proposes a new modulation method that can suppress the maximum common mode voltage of a six phase output indirect matrix converter by 50%, while also taking into account the suppression of multi-phase output harmonic ***, the size of common mode voltage was studied considering only the switching state of the inverter stage. Based on the principles of minimizing common mode voltage and synthesizing harmonic voltage to zero, a virtual vector of inverter stage 6 was constructed. Secondly, the magnitude of common mode voltage when the rectification stage vector and the inverter stage 6 virtual vector act together was studied. Based on this, the rectification stage vector and inverter stage virtual vector were selected based on the minimum common mode voltage of different sectors. This can suppress the common mode voltage generated by the effective vector of the six phase output indirect matrix converter to 0.29Vin, and the common mode voltage generated by the zero vector to 0.5Vin © 2024 IEEE.

关键词： Matrix converters

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