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SSRN 2023年

作者： Wang, Chengjun Zheng, Zhen Zha, Bingting Li, Haojie Nanjing University of Science and Technology Nanjing210094 China Science and Technology on Electromechanical Dynamic Control Laboratory Xian China

Point cloud alignment based on local shape features is widely adopted due to its effectiveness and robustness, and most current local feature-based alignment algorithms are difficult to meet satisfactory performance in terms of alignment accuracy, robustness and time efficiency at the same time. In this paper, we propose a new weighted symmetric Iteration Nearest Point (ICP) point cloud alignment algorithm based on local feature description, which firstly encodes the spatial and deviation angle information of point clouds based on robust reference axes to form an efficient and robust feature descriptor, and then establishes the correspondence between point clouds based on local features, and combines with a 1-point sample consensus algorithm to obtain the initial alignment results. A weight function is constructed based on the residual distance between corresponding points, and the weighted symmetric ICP algorithm is designed using the symmetric point-to-plane distance as the optimization criterion to refine the initial alignment results. Experiments on public datasets show that our method has better alignment accuracy, robustness, and higher alignment efficiency than the currently popular local feature-based point cloud alignment algorithms. © 2023, The Authors. All rights reserved.

关键词： Iterative methods

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Low SNR FM signal preprocessing method based on low-order cyclic statistics and WVD distribution

Low SNR FM signal preprocessing method based on low-order cy...

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Robotics, Artificial Intelligence and Intelligent control (RAIIC), International Conference on

作者： Jianfeng Li Dingkun Huang Xiaopeng Yan Jian Dai Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology Beijing China

In order to solve the problem of poor noise suppression effect and long processing time of FM signal under the condition of low SNR by traditional preprocessing methods, a signal preprocessing method based on low-order cyclic statistics and WVD distribution is proposed. The method firstly calculates the cyclic mean value of incoming wave signal, and then transforms the incoming wave signal domain through IFFT algorithm with variable points. Finally, the time-frequency ridge of the FM signal is obtained by WVD time-frequency analysis, and the binary image transformation is carried out. Through simulation analysis, the time-frequency preprocessing method proposed in this paper can greatly reduce the calculation amount and improve the real-time performance while retaining the accuracy of time-frequency features, and provide effective support for subsequent sorting identification and parameter estimation.

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LIGHTWEIGHT MARS SURFACE DETECTION ALGORITHM BASED ON IMPROVED YOLOV7 10

LIGHTWEIGHT MARS SURFACE DETECTION ALGORITHM BASED ON IMPROV...

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10th International Symposium on Test Automation and Instrumentation, ISTAI 2024

作者： Liu, Jingwei Dai, Juan Tian, Kaiyuan Sun, Kedong Beijing Key Laboratory of High Dynamic Navigation Technology Beijing Information Science & Technology University Beijing China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing China School of Automation Beijing Information Science & Technology University Beijing China

ISBN: (纸本)9781837242672

Mars surface detection is a challenging task that takes into account environmental factors such as terrain complexity, ground flatness, rock distribution, geological features, and storms. In this paper, we address the complexity of rock distribution on the surface of Mars and the resource-constrained difficulties of intelligences in performing the task, and propose the Yolov7-MFGC model on top of Yolov7, which solves the problems of existing rock detection models in terms of large computational load and number of parameters, as well as resource constraints in a specific environment. In this paper, we use a homemade Mars surface rock dataset for training and testing, and the test results show that Yolov7-MFGC improves the accuracy by 1.7%, reduces the amount of parameters by 49%, shrinks the model volume by 49.6%, and reduces the GFLOPS by 70% compared with Yolov7. Therefore, it can be concluded that Yolov7-MFGC is able to better perform the Mars surface rock detection task. © The Institution of Engineering & technology 2024.

关键词： Martian surface analysis

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作者： Zhaoxuan Guo Guanglin He Wei Guo AVIC China Aero-Polytechnology establishment Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology

For the current problems of limited environmental information,weak environment stimulus,and difficult to distinguish from interference environment stimulus faced by low-rotation munition fuzes in arming,this paper proposes a similarity identification method for characteristic curves of environment stimulus based on Euclidean distance(ED),and corresponding similarity *** judging the similarity between real-time speed curve and standard curve,abnormal curve and standard curve respectively,the reasonableness and reliability of similarity index and the feasibility of using it as the predetermined condition for fuze arming are confirmed.

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Research on Stability of Cutting System of Shield Driving Robot in Semi-coal Rock Roadway Under Complex Geological Conditions 2nd

Research on Stability of Cutting System of Shield Driving Ro...

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2nd International Conference on the Frontiers of Robotics and Software Engineering, FRSE 2024

作者： Xue, Limeng Wang, Chuanwei School of Mechanical Engineering Xi’an University of Science and Technology Xi’an710054 China Shaanxi Key Laboratory of Mine Electromechanical Equipment Intelligent Detection and Control Xi’an710054 China

ISBN: (纸本)9789819630127

Aiming at the problems of stability and efficiency of full-width cross-axis cutting in large section semi-coal rock roadway under complex geological conditions, a shield type intelligent driving robot system is developed, and a new shield type full-width cross-axis cutting system was proposed. The body structure model of the cutting system was constructed, and the mechanical model of the full-width transverse axis drum of the cutting system, the mechanical coupling model of "cutting robot - rectangular shield - top and bottom wall rock", and the force transfer mechanism in the cutting process of the drum were established. The stability condition of the cutting system is determined according to the relationship between the stability moment and the jumping moment of the cutting system, and the stability coefficient model of the cutting system when the shield and the roof are coupled is established. The Adams simulation model of the cutting system is established, and the cutting performance of the coal rock with hardness of f6 is simulated, and the stability coefficient is always greater than 1.1. The simulation and industrial test results show that the shield type full width transverse axis cutting system has characteristics of good stability, cutting efficiency and high forming quality. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Intelligent robots

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Research on Fault Diagnosis Method for Rolling Bearings Based on Improved ConvNext V2

Research on Fault Diagnosis Method for Rolling Bearings Base...

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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Qin, Feifan Zhang, Chao Wang, Jianguo Wu, Le Wu, Yangbiao Ouyang, Bing Liu, Guiyi College of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014010 China Inner Mongolia Key Laboratory for Intelligent Diagnosis and Control of Electromechanical Systems Baotou014010 China

ISBN: (纸本)9783031734069

Aiming to address issues such as insensitivity to fault characteristics, inadequate feature extraction, and susceptibility to external environmental interference in traditional bearing fault diagnosis methods, an improved approach to rolling bearing fault diagnosis based on ConvNext V2 is proposed. Firstly, leveraging the advantages of wavelet time-frequency analysis, one-dimensional vibration signals collected from the experimental setup are transformed into two-dimensional images containing abundant time-frequency information using continuous wavelet transform. Secondly, the next-generation convolutional neural network ConvNext V2 is introduced as the underlying network for rolling bearing fault diagnosis, and the Efficient Channel Attention (ECA) network is incorporated to enhance the feature extraction capability of the Block module in the base network. Subsequently, the wavelet time-frequency images are used as feature map inputs to the improved ConvNext V2 network for training, enabling the diagnosis and recognition of rolling bearing faults. Finally, experimental results demonstrate that the proposed method exhibits good fault recognition accuracy and stability in laboratory data, with high generalization capability, thereby offering a new solution for rolling bearing fault diagnosis. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Roller bearings

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Preliminary Study on the Method of Generating Infrared Image Based on CycleGAN 19th

Preliminary Study on the Method of Generating Infrared Image...

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19th Chinese Intelligent Systems Conference, CISC 2023

作者： Sun, Baiping Tong, Jiahui Geng, Huapin Beijing Electromechanical Engineering Institute Beijing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing China

ISBN: (纸本)9789819968855

Traditional infrared scene simulation method mainly includes the establishment of 3D geometric model of the target, the establishment of scene radiation model, the relationship mapping between infrared radiation and infrared image gray value and other steps. The whole process is tedious, and contain more calculated parameters. This paper introduce CycleGAN network, draw on its ring network structure and unpaired data or paired data as a training set, realize the advantages of domain image conversion effect, explore the visible light image conversion into corresponding infrared image, solve the problems such as samples in the process of infrared imaging simulation is limited, fidelity is low, and coverage is limited. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Infrared radiation

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An interference mitigation technique for automotive radar based on empirical wavelet transform and maximum correlation coefficient

An interference mitigation technique for automotive radar ba...

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3rd International Conference on control Theory and Applications (ICoCTA 2023)

作者： W. Zhou X. Hao J. Yang Q. Yang Science and Technique on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing People's Republic of China

With the development of autonomous driving technology, the probability of mutual interference between automotive radars has significantly increased. Aiming at the increasingly serious mutual interference problem among automotive radars, an interference mitigation technique based on empirical wavelet transform and maximum correlation coefficients is proposed. The technique achieves the reconstruction of clean target signals from interfered original signals by constructing an adaptive wavelet band-pass filter bank, and then locates the target echo signal by the maximum similarity coefficient to achieve the reconstruction of the target echo signal. The effectiveness of this technique has been verified through simulation experiments, and the experimental results show that the proposed technique can significantly reduce the impact of interference. Compared with several existing technologies, it further demonstrates the superiority of the proposed technique.

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The Echo Model and Simulation Method of Impulse Radar Fuze Based on Attribute Scattering Center Model 3

The Echo Model and Simulation Method of Impulse Radar Fuze B...

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2021 3rd International Conference on Computer, Communications and Mechatronics Engineering, CCME 2021

作者： Kong, Ming Li, Yuzhao Chen, Jichi Wang, Xu Wei, Guohua School of Information and Electronics Beijing Institute of Technology Beijing100081 China Science and Technology on Electromechanical Dynamic Control Laboratory China Beijing Institute of Remote Sensing Equipment Beijing100854 China

This article focuses on solving the problem of performance evaluation and algorithm verification of ultra-bandwidth impulse radar fuze. A modeling and simulation method for the scattering echo of an impulse radar target is proposed. We distinguish the scattering center of the extended target and construct its echo based on the attribute scattering center model. Besides, the position variation characteristics of the scattering center, and the azimuth dependence of the scattering amplitude are fully considered. At the same time, the motion information of the target is modulated to obtain the target scattering echo of the impulse radar. We generate the scattering echo of the typical streamlined moving target at different observation angles by calculation. The changes of the echo position and amplitude of each scattering center are consistent with the scattering echo model. We use the generated echo data to image, and the imaging results are basically consistent with the shape of the target, which verifies the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Bandwidth

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Real-time monitoring and analysis of hydraulic fracturing in surface well using microseismic technology:Case insights and methodological advances

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International Journal of Mining science and technology 2025年第4期35卷 619-638页

作者： Yanan Qian Ting Liu Cheng Zhai Hongda Wen Yuebing Zhang Menghao Zheng Hexiang Xu Dongyong Xing Xinke Gan State Key Laboratory of Coal Mine Disaster Prevention and Control China University of Mining and TechnologyXuzhou 221116China Yunlong Lake Laboratory of Deep Underground Science and Engineering Xuzhou 221003China Key Laboratory of Theory and Technology on Coal and Rock Dynamic Disaster Prevention and Control National Mine Safety AdministrationChina University of Mining and TechnologyXuzhou 221116China School of Safety Engineering China University of Mining and TechnologyXuzhou 221116China School of Emergency Management Chengdu UniversityChengdu 610106China School of Safety Science and Engineering Anhui University of Science and TechnologyHuainan 232001China Xinjiang Yaxin Coalbed Methane 156 Exploration Co. Ltd.Urumqi 841100China

Through a case analysis,this study examines the spatiotemporal evolution of microseismic(MS)events,energy characteristics,volumetric features,and fracture network development in surface well hydraulic fracturing.A total of 349 MS events were analyzed across different fracturing sections,revealing significant heterogeneity in fracture *** scanning results showed that cumulative energy values ranged from 240 to 1060 J across the sections,indicating notable *** reservoir volume(SRV)analysis demonstrated well-developed fracture networks in certain sections,with a total SRV exceeding 1540000 m^(3).The hydraulic fracture network analysis revealed that during the midfracturing stage,the density and spatial extent of MS events significantly increased,indicating rapid fracture propagation and the formation of complex *** the later stage,the number of secondary fractures near fracture edges decreased,and the fracture network *** comparing the branching index,fracture length,width,height,and SRV values across different fracturing sections,Sections No.1 and No.8 showed the best performance,with high MS event densities,extensive fracture networks,and significant energy ***,Sections No.4 and No.5 exhibited sparse MS activity and poor fracture connectivity,indicating suboptimal stimulation effectiveness.

关键词： Hydraulic fracturing Microseismic Source location Energy scanning Fracture network

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