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55th International Conference on Vibroengineering

作者： Guan, Enming Yan, Xiaopeng Lv, Minghui Wan, Yi Chen, Yanjun Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing China

In order to blind estimate pseudo-code (PN) code phase modulation and linear frequency modulation composited fuzecarrier frequency. By improving the traditional Duffing oscillator detection model of strong reference signal, an approximate carrier frequency blind estimation method by small-scale periodic Duffing oscillator is proposed in this paper. In this method, the internal dynamic frequency is used to approximate the changes of the output time domain and phase diagram of the chaotic system during the frequency to be measured. Then calculate the different frequency to blind estimate the carrier frequency of the signal. This method widens the range of frequency detection and can realize blind frequency estimation with less prior knowledge. The parameter estimation effect of the approximate carrier frequency estimation method based on small cycle Duffing oscillator under different signal to noise ration (SNR) is simulated and analyzed in this paper. The results show that this method has better parameter estimation performance than the traditional composited fuze frequency estimation method, especially in the environment of low SNR. © 2022 JVE International. All rights reserved.

关键词： Frequency estimation

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Design and experimental study of a novel piezoelectric accelerometer 4

Design and experimental study of a novel piezoelectric accel...

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4th International Conference on Sensors and Information technology, ICSI 2024

作者： Zou, Qipeng Sui, Li Zhang, Meiyun Zhang, Li Science and Technology on Electromechanical Dynamic Control Laboratory Beijing Institute of Technology Beijing100081 China Northwest Industries Group Co. Ltd. Xi'an710043 China

ISBN: (数字)9781510678699

ISBN: (纸本)9781510678682

The collision or penetration overload signal measured by the general accelerometer may encounter problems such as signal overlap and multi-layer signal adhesion. This paper designs a novel piezoelectric accelerometer with the characteristics of mechanical filtering and switching. The structure and working principle of this accelerometer are described in the paper, and its output characteristics are obtained through experiments. The experimental results show that the output signal of the new piezoelectric accelerometer has the characteristics of less high-frequency interference signal and no signal adhesion, which are conducive to the information extraction of collision and penetration multi-layer target by the flying carrier. © 2024 SPIE.

关键词： Accelerometers

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Blind parameter estimation of pseudo-random binary code-linear frequency modulation signal based on Duffing oscillator at low SNR

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Chinese Physics B 2021年第5期30卷 312-319页

作者： Ke Wang Xiaopeng Yan† Ze Li Xinhong Hao Honghai Yu Science and Technology on Electromechanical Dynamic Control Laboratory School of Mechatronical EngineeringBeijing Institute of TechnologyBeijing 100081China

Conventional parameter estimation methods for pseudo-random binary code-linear frequency modulation(PRBC-LFM)signals require prior knowledge,are computationally complex,and exhibit poor performance at low signal-to-noise ratios(SNRs).To overcome these problems,a blind parameter estimation method based on a Duffing oscillator array is proposed.A new relationship formula among the state of the Duffing oscillator,the pseudo-random sequence of the PRBC-LFM signal,and the frequency difference between the PRBC-LFM signal and the periodic driving force signal of the Duffing oscillator is derived,providing the theoretical basis for blind parameter *** based on amplitude method,short-time Fourier transform method,and power spectrum entropy method are used to binarize the output of the Duffing oscillator array,and their performance is *** pseudo-random sequence is estimated using Duffing oscillator array synchronization,and the carrier frequency parameters are obtained by the relational expressions and characteristics of the difference *** results show that this blind estimation method overcomes limitations in prior knowledge and maintains good parameter estimation performance up to an SNR of-35 dB.

关键词： Duffing oscillator pseudo-random binary code-linear frequency modulation(PRBC-LFM)signal blind parameter estimation low signal-to-noise ratio(SNR)

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A Multi-Layer Frequency Selective Surface with Broad Bandpass and High Selectivity

A Multi-Layer Frequency Selective Surface with Broad Bandpas...

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2024 IEEE International Conference on Computational Electromagnetics, ICCEM 2024

作者： Gao, Ruicheng Wen, Shuai Mao, Yongyan Bi, Lige School of Electronic Engineering Xidian University Xian China Science and Technology On Electromechanical Dynamic Control Laboratory China Electronic Engineering Research Institute Xian China

ISBN: (纸本)9798350383317

A novel broadband bandpass Frequency Selective Surface (FSS) is designed with the intention of surpassing the performance of previous designs. Through the utilization of cascading multilayers of capacitive patches and inductive grids, this design achieves our goal of wide bandwidth as well as high selectivity, while maintaining an acceptable thickness. The stimulated results exhibit a broad passband width, ranging from 12.5 GHz to 18.2 GHz, as well as steep out-of-band attenuation with a transitional zone of less than 1 GHz. © 2024 IEEE.

关键词： Frequency selective surfaces

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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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Measurement of Millimeter Wave Transmission Characteristics Based on Battlefield Smoke Interference Environment

Measurement of Millimeter Wave Transmission Characteristics ...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Sicheng Gao Chi Zhang Juntao Cui Tie Li Dynamic Control Laboratory Science and Technology on Electromechanical Xi'an China

ISBN: (数字)9798350353129

ISBN: (纸本)9798350353136

In response to the impact of copper powder and smoke interference on millimeter wave transmission characteristics, four band tests were conducted using the same smoke agent equivalent battlefield interference environment, including K-band (24GHz), Ka band (34.5GHz), V-band (61GHz), and F-band (94GHz), to obtain millimeter wave radar echoes and analyze them. The experimental results indicate that: The interference of smoke on millimeter wave transmission has randomness, and as the concentration of smoke increases, the interference ability will gradually become stronger; As the carrier frequency increases, the wavelength gradually shortens and the anti-interference ability gradually improves; Relatively speaking, the interference ability of copper powder on millimeter wave transmission is stronger than that of fine smoke aerosols, but far inferior to that of foil cloud clusters.

关键词： Powders Clouds Wavelength measurement Millimeter wave measurements Transmitting antennas Interference Millimeter wave radar Aerosols Millimeter wave propagation Copper

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Smoke Diffusion Feature Extraction and Concentration Prediction Method Based on Canny Edge Detection

Smoke Diffusion Feature Extraction and Concentration Predict...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Yue Xie Hong Su Tie Li Gang Li Yali Hou Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an China

ISBN: (数字)9798350353129

ISBN: (纸本)9798350353136

In the dynamic intersection scene between laser detector and smoke interference, it is difficult to quantitatively describe the smoke state parameter information of laser detection optical path at different times due to the fluidity and randomness of smoke. This paper proposes a smoke diffusion video feature extraction and concentration prediction method based on Canny edge detection. This method extracts high-speed video of smoke diffusion, detects the edge of the video image and segments the smoke area, analyzes and obtains the corresponding relationship between the shielding effect of smoke diffusion, the number of image pixels in the transmission path and the smoke concentration, By extracting the shielding effect of 1, 2, and 4 typical smoke scenes during diffusion, and analyzing the number of image pixels of a certain transmission path of smoke diffusion, the smoke impact in the dynamic intersection scene of the laser detector and smoke interference is quantified. Subsequently, the laser detector dynamic intersection scene and detection beam parameters can be combined to quantitatively describe the relative position of the laser beam in the smoke transmission path and the concentration state estimation in different forms of smoke scenes, providing important support for the time-correspondence of the echo signal and the optimization of the smoke interference algorithm.

关键词： Laser theory Image edge detection Lasers Interference Detectors Prediction methods Feature extraction Laser beams State estimation Optimization

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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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Fuze Echo of Background Adaptability Evaluation Model Based on Data Driven

Fuze Echo of Background Adaptability Evaluation Model Based ...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Gang Li Haichao Zhong Chengcheng Yang Chi Zhang Juntao Cui Tie Li Science and Technology on Electromechanical Dynamic Control Laboratory Xi'an Institute of Electromechanical Information Technology Xi'an China

ISBN: (数字)9798350353129

ISBN: (纸本)9798350353136

To address the need for evaluating the adaptability of radio proximity fuze components under complex conditions, a data-driven modeling method based on target characteristics for assessing fuze echo adaptability to ground backgrounds is proposed. The study investigates the impact of soil moisture content on fuze echo responses, using silty soil as an example. The variation in scattering coefficients of silty soil with different moisture levels and grazing angles is provided. The results show that the scattering coefficient is significantly affected by soil moisture content. For instance, at a grazing angle of 90° and moisture content of 1%, the scattering coefficient is about -8 dB, while at 40% moisture content, the scattering coefficient increases to 3 dB. Using the developed fuze ground background adaptability evaluation model, the echo response characteristics of Ka-band fuzes under different moisture levels were predicted. The results indicate that higher moisture content leads to a higher signal-to-noise ratio in fuze echoes.

关键词： Adaptation models Dielectric constant Monte Carlo methods Soil moisture Evaluation models Electromagnetic scattering Moisture Surface roughness Rough surfaces Signal to noise ratio

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Ground Target Recognition Method for Laser Proximity Fuze Echo Based on KNN Algorithm

Ground Target Recognition Method for Laser Proximity Fuze Ec...

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International Symposium on Antennas, Propagation and EM Theory (ISAPE)

作者： Gang Li Haijun He Bo Tian Pengfei Hu Tiantian Feng Yuanfei Hui Xi’ an Institute of Electromechanical Information Technology Science and Technology on Electromechanical Dynamic Control Laboratory Xi’ an China

ISBN: (数字)9798350353129

ISBN: (纸本)9798350353136

Aiming at the urgent demand for accurate recognition of ground target by the new-generation of laser proximity fuze, an exploration study on ground target recognition using KNN algorithm based on the echo of the mission-target encounter of laser fuze is conducted. Firstly, the echo equation of mission-target encounter is established by the radar equation. Secondly, the echo data is processed by normalization, and the data is divided into the training dataset and the test dataset. Then, the data are subjected to feature extraction, such as the number of strong scattering points, equivalent target size. Finally, the obtained feature subset is used for target recognition training and testing based on KNN algorithm, linear support vector machine algorithm and Gaussian naive bayes algorithm. The experimental results indicate that the recognition method based on the KNN neighbor algorithm has high accuracy and can effectively achieve classification and recognition of different targets. It has a good application value in the recognition of lase ground fuze, and lays a solid foundation for the subsequent fine recognition and efficient destruction of laser fuze.

关键词： Training Support vector machines Laser radar Accuracy Target recognition Scattering Nearest neighbor methods Mathematical models Classification algorithms Testing

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