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Computer science, Electronic Information Engineering and Intelligent control technology (CEI), IEEE International Conference on

作者： Xulang Zhou Yongdiao Wen Wenhui Hu Gang Li Tie Li Xidian University School of electric engineering Xi'an China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an China

ISBN: (数字)9798350378542

ISBN: (纸本)9798350378559

To address the challenge of effectively evaluating ISAR image similarity under multi-precision fusion processing, this paper proposes a Fine-Grained Weighted Entropy (FGWE)-based image similarity evaluation method. This approach fully considers the subtle structural features in radar images by assigning different entropy weights to various regions, thereby emphasizing the differences of the important structural information and then reflecting accurately the similarity between images. Experimental results demonstrate that, compared with traditional methods, when FGWE was used to evaluate radar images, it showed a greater sensitivity to structural feature differences, and more accurately trapped the image information loss which derived from multi-precision processing. The mentioned FGWE reveals great potential in the field of radar image precision evaluation.

关键词： Visualization Sensitivity Imaging Radar detection Process control Radar Radar imaging Entropy Standards Optimization

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Weighted Symmetric ICP Point Cloud Alignment Algorithm Based on Local Feature Description

SSRN

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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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Research on Vibration Displacement Measurement of Sleeper Based on Machine Vision 1

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UNIfied Conference of International Workshop on Defence Applications of Multi-Agent Systems, DAMAS 2023, International Conference on Maintenance Engineering, IncoME-V 2023, International conference on the Efficiency and Performance Engineering Network, TEPEN 2023

作者： Chi, Yuliang Gao, Yunpeng Liu, Guiyi Zhang, Chao School of Mechanical Engineering Inner Mongolia University of Science and Technology Baotou014000 China Key Laboratory of Intelligent Diagnosis and Control of Electromechanical Systems in Inner Mongolia Autonomous Region Baotou014000 China Baotou Railway Vocational and Technical College Baotou014000 China

ISBN: (数字)9783031494215

ISBN: (纸本)9783031494208

Machine vision technology has the characteristics of high precision, fast speed, non-contact and high degree of automation in displacement detection. It is feasible to apply machine vision technology to the detection of vibration displacement of railway sleeper. In this paper, the vibration displacement measurement technology of railway sleeper is studied, and a machine vision method based on monocular vision measurement is proposed. According to the geometric relationship between the feature points of the target and the corresponding feature points of the space target in the shot image, the pose information of the space target relative to the camera coordinate system is calculated. By monitoring the change of the attitude of the target rigidly connected to the sleeper, the vibration displacement results of the sleeper when the train passes are obtained. The experimental results show that the proposed method meets the requirements of sleeper vibration measurement in terms of measurement accuracy, sampling comment and stability. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Displacement measurement

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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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Research on multi-scale simulation and dynamic verification of high dynamic MEMS components in additive manufacturing

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Defence technology 2025年第5期 275-291页

作者： Sining Lv Hengzhen Feng Wenzhong Lou Chuan Xiao Shiyi Li Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical Engineering Beijing Institute of Technology

Metal Additive Manufacturing(MAM) technology has become an important means of rapid prototyping precision manufacturing of special high dynamic heterogeneous complex parts. In response to the micromechanical defects such as porosity issues, significant deformation, surface cracks, and challenging control of surface morphology encountered during the selective laser melting(SLM) additive manufacturing(AM) process of specialized Micro electromechanical System(MEMS) components, multiparameter optimization and micro powder melt pool/macro-scale mechanical properties control simulation of specialized components are conducted. The optimal parameters obtained through highprecision preparation and machining of components and static/high dynamic verification are: laser power of 110 W, laser speed of 600 mm/s, laser diameter of 75 μm, and scanning spacing of 50 μm. The density of the subordinate components under this reference can reach 99.15%, the surface hardness can reach 51.9 HRA, the yield strength can reach 550 MPa, the maximum machining error of the components is 4.73%, and the average surface roughness is 0.45 μm. Through dynamic hammering and high dynamic firing verification, SLM components meet the requirements for overload resistance. The results have proven that MEM technology can provide a new means for the processing of MEMS components applied in high dynamic environments. The parameters obtained in the conclusion can provide a design basis for the additive preparation of MEMS components.

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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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A Method for Reconstructing The Shape of Wing Panels Based on Fiber Optic Sensors and Tomographic Imaging Principles 15

A Method for Reconstructing The Shape of Wing Panels Based o...

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15th IEEE Global Reliability and Prognostics and Health Management Conference, PHM-Beijing 2024

作者： Zhan, Jun Zeng, Jie Xiang, Chao Cui, Jinpeng Zeng, Cheng Zhu, Linfeng Lu, Mingyu State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics No. 29 Yudao Street Nanjing210016 China Aviation Key Laboratory of Science and Technology on Aero Electromechanical System Integration Nanjing Engineering Institute of Aircraft System Jincheng AVIC Nanjing China COMAC Beijing Aircraft Technology Research Institute Changping District Xiaotangshan Future Science and Technology City Beijing102211 China

ISBN: (纸本)9798350354010

The aircraft wing structure shape reconstruction method based on discrete strain information not only provides data support for the digital collaborative health monitoring and prediction technology of wing structure but also helps to improve the aerodynamic shape and flight quality of the aircraft, achieve structural stealth, and enhance the pointing accuracy of the on-board conformal antenna. As result, a wing skin panel shape reconstruction method based on the principle of tomographic imaging and strain information perception is proposed. According to the idea of tomographic imaging, a "non-intrusive" layout form that only requires sensors to be arranged on the periphery of the monitoring area is designed, breaking through the limitation that sensors can not be arranged in the monitoring area under special working conditions. A method for constructing the deflection shape function of the wing skin panel based on the concept of synthetic curvature is proposed, solving the problem of error accumulation and elimination of deformation inversion at non-monitoring points of the measured structure caused by the uncertainty of the limited discrete layout of sensors and the choice of interpolation fitting method. On this basis, a model deformation monitoring and inversion system for wing skin panel based on fiber optic grating sensors is constructed. The experimental results show that under the single-end fixed bending and torsion working condition, the average relative error of the panel model shape reconstruction is 4.17%. Under the double-end fixed double-concentrated load working condition, the average relative error of the shape reconstruction is 8.07%. The wing deformation distribution information reconstructed by the method proposed in this paper can be mapped onto the virtual twin model of the wing, providing technical support for the safety assessment, early warning, and on-condition maintenance of the entire service life of key structures of the aircraft. © 2024

关键词： Fixed wings

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A paper-based self-inductive folding displacement sensor for human respiration and motion signals measurement

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npj Flexible Electronics 2022年第1期6卷 653-663页

作者： Junwen Zhu Yanshen Jia Mengmeng Li Zhanxuan Zhou Yinghao Chen Qiang Liu Xing Yang The State Key Laboratory of Precision Measurement Technology and Instruments Department of Precision InstrumentTsinghua UniversityBeijing 100084China School of Materials Science and Engineering University of Science and Technology BeijingBeijing 100083China School of Electromechanical and Automobile Engineering Yantai UniversityYan Tai 264005China Key Laboratory of Photonic Control Technology Ministry of EducationTsinghua UniversityBeijing 100083China

Flexible sensors have recently attracted much attention for potential applications in motion measurement and wearable health *** this paper,an environment-friendly,economic,and high-performance paper-based self-inductive folding displacement sensor(PSIFS)was proposed,with displacement resolution of 20μm and wide measurement range of 43.2 *** sensor sensitivity could reach 4.44%mm^(−1) with the maximum deviation of 0.00904 in *** sensing mechanism based on inductance variation due to three-dimensional deformation of planar inductor coil and structural design principle under two dimensions of sensitivity and size were proposed and *** folding method to enhance sensitivity was proposed and 3 times sensitivity enhancement could be achieved by once *** breathing states and motion states of the human joints could be *** proposed simple paper-based sensor,folding method to increase sensitivity,and structural design model may provide a way for the research of flexible sensors.

关键词： folding inductive motion

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Error Modeling Method for BeiDou Satellite Receivers Based on Long Short-Term Memory Neural Networks 24

Error Modeling Method for BeiDou Satellite Receivers Based o...

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Proceedings of the 2024 4th International Conference on Computational Modeling, Simulation and Data Analysis

作者： Boda Li Hongsen Ji Guotai Xu Keyu Qi Ziyang Lin Shuo Zhang Xi'an Institute of Electromechanical Information Technology Xi'an Shaanxi China Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an Institute of Electromechanical Information Technology Xi'an Shaanxi China School of Mechatronical Engineering of Beijing Institute of Technology Beijing China Liao Shen Industries Group Co LTD Shenyang Liaoning China

ISBN: (纸本)9798400711831

In response to the influence of errors in the BeiDou satellite receiver on the precision correction fuze in two-dimensional correction munitions during accurate weapon strikes, this study proposes a BeiDou satellite receiver positioning error compensation model based on Long Short-Term Memory (LSTM) networks. By analyzing radar data from flight tests and the measurement data retrieved from recovered projectiles, the receiver error sequence is isolated. Considering the relationship between the receiver and its dynamic characteristic parameters, an error prediction model based on LSTM is established. The model takes the dynamic characteristic parameters of Beidou satellite receiver as input and the error sequence of each dynamic parameter as output to supplement the missing error sequence and compensate the error. The results show that the model can effectively predict receiver errors and reduce the maximum errors of position and speed. Through Monte Carlo simulation, error compensation effectively improves the accuracy of projectile correction, and verifies the effectiveness of the model. This error compensation method can effectively improve the accuracy and combat effectiveness of two-dimensional trajectory correction control

关键词： BeiDou satellite receiver

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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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