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8th International Symposium on Test Automation and Instrumentation, ISTAI 2020

作者： Ma, Chao Song, Lei Wang, Shaohong Yang, Zhihan Key laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Beijing China Key laboratory of Space Utilization Technology and Engineering Centre for Space Utilization Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781839535635

Objected to fault diagnosis of planetary gearbox, the research and implementation of classification model on small sample with semi-supervised learning and DPN in this paper is carried out. Firstly, the acceleration sample data for four status of the planetary gearbox are obtained, which are including the normal, internal ring gear fault, sun gear fault and Coupling fault between planetary gear and bearing. And the feature vector is built with characteristic parameters such as average amplitude, kurtosis, root mean square, root square amplitude, form factor, crest factor and margin factor. Then the data is delt with CEEMD method for noise reduction and continually the parameters are computed. Then the vector is as input of DBN and Semi-supervised Learning algorithm to fault diagnosis for planetary gear system. Also the comparison competition are done by using DBN and SVM. The results show that under the small sample data, the method of CEEMD - DBN could be more effective under small sample data. The research could provide an effective method for the diagnosis and classification of small sampling projects. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Failure analysis

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New Sensing Technologies for Monitoring Machinery,Structures,and Manufacturing Processes

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Journal of Dynamics, Monitoring and Diagnostics 2023年第2期2卷 69-88页

作者： JDMD Editorial Office Zhaoyan Fan Robert X.Gao Qingbo He Yi Huang Tianxi Jiang Zhike Peng Luc Thévenaz Yuyong Xiong Shuncong Zhong Editorial Office of JDMD Chongqing University of TechnologyChongqingPeople’s Republic of China Department of Mechanical Industrialand Manufacturing EngineeringOregon State UniversityCorvallisORUSA Department of Mechanical and Aerospace Engineering Case Western Reserve UniversityClevelandOHUSA State Key Laboratory of Mechanical System and Vibration Shanghai Jiao Tong UniversityShanghaiPeople’s Republic of China Fujian Provincial Key Laboratory of Terahertz Functional Devices and Intelligent Sensing School of Mechanical Engineering and AutomationFuzhou UniversityFuzhouPeople’s Republic of China Institute of Precision Instrument and Intelligent Measurement&Control Fuzhou UniversityFuzhouPeople’s Republic of China School of Mechanical Engineering Ningxia UniversityYinchuanPeople’s Republic of China EPFL Ecole Polytechnique Fédérale de Lausanne Group for Fibre OpticsSCI-STI-LT Station 111015 LausanneSwitzerland

Sensing is the fundamental technique for sensor data acquisition in monitoring the operation condition of the machinery,structures,and manufacturing *** this paper,we briefly discuss the general idea and advances of various new sensing technologies,including multiphysics sensing,smart materials and metamaterials sensing,microwave sensing,fiber optic sensors,and terahertz sensing,for measuring vibration,deformation,strain,acoustics,temperature,spectroscopic,*** on the observations from the state of the art,we provide comprehensive discussions on the possible opportunities and challenges of these new sensing technologies so as to steer future development.

关键词： fiber optic sensor metamaterials sensing microwave sensing multiphysics sensing terahertz sensing

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Dynamic Unmanned Aerial Vehicle Selection via Evolutionary Game

Dynamic Unmanned Aerial Vehicle Selection via Evolutionary G...

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IEEE International Conference on Communications in China (ICCC)

作者： Anqi Meng Tianshi Ren Mei Yang Xiaozheng Gao Xianchao Zhang Jinbo Zhang Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing China School of Information and Electronics Beijing Institute of Technology Beijing China School of Arts and Sciences Beijing Institute of Fashion Technology Beijing China Key Laboratory of Medical Electronics and Digital Health of Zhejiang Province Jiaxing University Jiaxing China Science and Technology on Communication Networks Laboratory The 54th Research Institute of CETC Shijiazhuang China

Unmanned aerial vehicle assisted (UAV-assisted) wireless communication network is a promising paradigm of wireless communication network. In this paper, we apply the evolutionary game to the UAV selection process of ground user equipment (UE). Specifically, we first establish a UAV-assisted uplink wireless communication model, and then we use replicator dynamics to describe the process of evolution game. Finally, we propose a dynamic UAV selection algorithm based on evolutionary game with low computation complexity. The numerical results prove the effectiveness of our developed algorithm in UAV-assisted wireless communication network.

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Quick Routing Response to Link Failure in Low-Earth Orbit Satellite Networks

Quick Routing Response to Link Failure in Low-Earth Orbit Sa...

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International Conference on Computer and Communications (ICCC)

作者： Zhiping Lu Ruxin Zhi Weiguo Ma School of Information and Communication Engineering Beijing University of Posts and Telecommunications State Key Laboratory of Wireless Mobile Communications China Academy of Telecommunications Technology (CATT) Beijing China Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

Low earth orbit satellite communication systems are attractive for provisioning global, high-speed and low latency Internet access services. In order to achieve global continuous multiple coverage, the number of satellites is tremendous. But Low earth orbit satellite networks are prone to instability due to unpredictable link failures and frequent topology changes. Therefore, in this paper, a novel routing schemes with quick response to link failures is first proposed. Based on Dijkstra algorithm, a scalable routing algorithm is proposed to minimize the end-to-end transmission delay. It takes advantage of the predictable constellation trajectory, and changes dynamically according to the changes of network topology. It provides the shortest routing path and an alternative path simultaneously. When a link failure is detected by one satellite, notification packets will be sent to its neighbors for adjustment to the alternative routing path. Notification packets also will be sent to the head node for the recalculation of routing table. Finally, extensive simulations have been conducted, and the results show that the proposed scheme is able to produce desired performance.

关键词： Satellites Network topology Heuristic algorithms Dynamics Low earth orbit satellites Packet loss Routing

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ANSYS-based three-degree-of-freedom precision inspection platform response surface optimization analysis

ANSYS-based three-degree-of-freedom precision inspection pla...

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9th International Symposium on Test Automation & Instrumentation (ISTAI 2022)

作者： M. Li G. Wu A. Wang X. He Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing 100192 People's Republic of China AVIC Changcheng Institute of Metrology & Mesurement Beijing 100095 People's Republic of China

The three-degree-of-freedom precision inspection platform, measuring the diameter of a ring gauge or the end of a block, is the heart of the mechanical part of the measuring instrument. It allows for stable support of the object to be measured as well as manual independent adjustment and meets the requirements of an aperture measuring instrument. Structural design of a three-degree-of-freedom precision inspection stage to meet the adjustment of three degrees of freedom My tilt, Mz deflection and Y translation, and the creation of the three-dimensional model in SolidWorks. To reduce the deformation of the platform, the three-dimensional model of the bottom plate was imported into ANSYS Workbench for static analysis and response surface optimisation analysis. A central composite experimental design with three support forces on the base of the bottom plate and the thickness of the bottom plate as design variables, with the deformation as the response. Based on the experimental results, the response surface model of the bottom plate was established by Kriging interpolation and sensitivity analysis was carried out for each design variable. The optimised design of the bottom plate was completed using a multiobjective genetic algorithm, and the deformation of the platform were reduced by 16.5% compared to the original structural solution.

关键词： design of experiments genetic algorithms inspection interpolation plates (structures) response surface methodology rings (structures) sensitivity analysis

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A Reinforcement Learning-Based Energy Management Strategy for Fuel Cell Electric Vehicle Considering Coupled-Energy Sources Degradations

SSRN

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SSRN 2023年

作者： Huo, Weiwei Liu, Teng Li, Fajia Institute of Electromechanical Engineering Beijing Information Science & Technology University Beijing100192 China Collaborative Innovation Center of Electric Vehicles in Beijing Beijing Information Science & Technology University Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China University of Jinan Jinan250024 China

The energy management strategy (EMS) is crucial for fuel cell electric vehicles (FCEV) by decreasing the equivalent fuel consumption and postponing fuel cell (FC) deterioration. An improved EMS based on the Twin Delayed Deep Deterministic Policy Gradient (TD3) deep reinforcement learning considering energy sources degradation and economic factor is proposed in this paper. The working condition identification (WCI) implemented by ensemble bagged trees (EBT) is used to expand the diversity of EMS application scenarios. The drastic loading change of FC is avoided for minimizing the instantaneous cost (MIC), which reduces FC degradation greatly. TD3 is applied to optimize the total cost combined with WCI and MIC. The training results based on 13 classic working conditions show that the degradation of the FC system is effectively suppressed, decreasing the overall cost and accelerating the algorithm's convergence time significantly. © 2023, The Authors. All rights reserved.

关键词： Energy management

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Secrecy Performance Analysis of Multi-Functional RIS-Assisted NOMA Networks

arXiv

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arXiv 2024年

作者： Pei, Yingjie Ni, Wanli Xu, Jin Yue, Xinwei Tao, Xiaofeng Niyato, Dusit School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China Department of Electronic Engineering Tsinghua University Beijing100084 China Beijing National Research Center for Information Science and Technology Beijing100084 China Key Laboratory of Information and Communication Systems Ministry of Information Industry China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing102206 China College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore

Although reconfigurable intelligent surface (RIS) can improve the secrecy communication performance of wireless users, it still faces challenges such as limited coverage and double-fading effect. To address these issues, in this paper, we utilize a novel multi-functional RIS (MF-RIS) to enhance the secrecy performance of wireless users, and investigate the physical layer secrecy problem in non-orthogonal multiple access (NOMA) networks. Specifically, we derive the secrecy outage probability (SOP) and secrecy throughput expressions of users in MF-RIS-assisted NOMA networks with external and internal eavesdroppers. The asymptotic expressions for SOP and secrecy diversity order are also analyzed under high signal-to-noise ratio (SNR) conditions. Additionally, we examine the impact of receiver hardware limitations and error transmission-induced imperfect successive interference cancellation (SIC) on the secrecy performance. Numerical results indicate that: i) under the same power budget, the secrecy performance achieved by MF-RIS significantly outperforms active RIS and simultaneously transmitting and reflecting RIS;ii) with increasing power budget, residual interference caused by imperfect SIC surpasses thermal noise as the primary factor affecting secrecy capacity;and iii) deploying additional elements at the MF-RIS brings significant secrecy enhancements for the external eavesdropping scenario, in contrast to the internal eavesdropping case. Copyright © 2024, The Authors. All rights reserved.

关键词： Budget control

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Digital Twin Transient Temperature Field of Wet Friction Components Based on the Hybrid Model Optimizing Dynamic Parameters

SSRN

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SSRN 2024年

作者： Wu, Jianpeng Yang, Jian Cui, Jiahao Shu, Wenya Wang, Liyong Li, Heyan Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China Department of Physics Virginia Polytechnic Institute State University BlacksburgVA24061 United States Center for Soft Matter and Biological Physics Virginia Polytechnic Institute State University BlacksburgVA24061 United States College of Urban Transportation and Logistics Shenzhen Technology University Shenzhen518118 China

Wet friction component is an important part of the military special vehicles transmission system, and its temperature rise characteristic significantly impact the reliability and service life of the transmission system. To achieve an accurate simulation of the temperature field, we propose a digital twin transient temperature field model of wet friction components based on the hybrid model that optimizes dynamic parameters. The approach involves building a dynamic model of the wet friction component engagement process using a hybrid mechanism-data driven method. The dynamic mechanism model is established according to the torque balance equation, while the Particle Swarm Optimization (PSO)-Long Short-Term Memory (LSTM) model optimizes the friction coefficient in the data-driven aspect. Utilizing the speed difference and friction coefficient obtained from the hybrid model, the heat flow density is solved. Finally, the digital twin transient temperature field is determined based on heat conduction theory and validated using a test bench for wet clutch. The parametric study highlights that temperature rise characteristics are largely determined by speed difference, temperature, and pressure. The research of the temperature rise characteristics serves as a valuable guidance for regulating the physical entity. © 2024, The Authors. All rights reserved.

关键词： Vehicle transmissions

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Coupling Mechanism and Data-Driven Approaches for Hydro-Viscous Drive Torque Characteristics Under Impact Condition

SSRN

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SSRN 2023年

作者： Wu, Jianpeng Yang, Jian Shu, Wenya Cui, Jiahao Wang, Liyong Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China Department of Physics Virginia Polytechnic Institute State University BlacksburgVA24061 United States Center for Soft Matter and Biological Physics Virginia Polytechnic Institute State University BlacksburgVA24061 United States

As an important part of stepless speed control in military vehicles and construction machinery, the reliability of the Hydro-Viscous Drive (HVD) friction pair profoundly affects their operational smoothness and service life. Within this context, HVD torque emerges as a pivotal parameter for efficient cooling system operation. The traditional mechanism models cannot accurately simulate the abrupt torque change at the friction interface, due to the complexity of multi-field coupling under impact conditions. To address this challenge, we propose a hybrid model for HVD by combining a mechanism-based torque balance equation for clutch engagement and a PSO-LSTM neural network model. The model accounts for sudden torque fluctuations under impact conditions, enhancing the accuracy of predicting the time and torque of the mutation node using data from comprehensive test bench. The experimental validation demonstrates that the hybrid model outperforms the traditional mechanism model, reducing the average error by 20.04%. Systematic assessment highlights the stability and robustness of the model performance, showing substantial improvements over conventional neural networks. The parametric study reveals the crucial influence of rotational speed and oil temperature on torque characteristics. © 2023, The Authors. All rights reserved.

关键词： Neural network models

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Research on semi-physical simulation system of high-end CNC machine based on cloud platform 8

Research on semi-physical simulation system of high-end CNC ...

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8th International Symposium on Test Automation and Instrumentation, ISTAI 2020

作者： Wu, Guoxin Jiang, Zhanglei Liu, Xiuli Deng, Sanpeng Xu, Xiaoli Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Beijing China School of Mechanical Engineering Tianjin University of Technology and Education Tianjin China

ISBN: (纸本)9781839535635

Building a cloud service platform for CNC machine can save a lot of training costs and time, effectively solve the problems such as large investment in the renovation of CNC equipment and fast replacement speed, simulate the production and processing process of enterprises, and seamlessly connect real machine tools. The training cloud platform can provide MOOC-style teaching simultaneously and the information interaction of each simulation terminal is realized. Enterprise cloud platform is equipped with the online publishing function of enterprise requirements, remote expert system and early fault simulation and prediction function to realize the efficient utilization of intelligent manufacturing resources. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Computer control systems

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