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

作者： Tang, Yuxin Hu, Jingfang Wang, Linzhe Wei, Wensong Song, Yu Li, Yansheng Gao, Guowei Beijing key Laboratory of sensor Beijing Information Science & Technology University Beijing100101 China Key Laboratory of Agricultural Product Processing Ministry of Agriculture Institute of Food Science and Technology Chinese Academy of Agricultural Sciences Beijing100193 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science & Technology Unive rsity Beijing100192 China Zibo Institute for Digital Agriculture and Rural Research Zibo255051 China

ISBN: (纸本)9781837242672

Reduced graphene oxide (rGO) plays a critical role in enhancing the performance of electrochemical sensors through its excellent electrical conductivity, large surface area, ease of functionalization, chemical stability, and synergy with other nanomaterials. In this paper, A novel electrochemical sensor was developed based on rGO and molecularly imprinted polymer (MIP) for detection of trace oxytetracycline (OTC) in water. The MIP/rGO composites are synthesized by in-situ electrochemical modification on a disposable screen-printed electrode (SPE). Due to the large surface area and good electron transport rate of rGO, as well as the specific recognition for TC of MIP, the sensitive determination of trace TC at MIP/rGO/SPE was realized. Linear sweep voltammetry (LSV) was performed on the sensor for the electrochemical analysis of OTC. Under optimized conditions, the peak current of MIP/rGO/SPE exhibited a good linear correlation with OTC concentration in a wide linear range (1-25 (j,mol/L), possessed a detection limit of 0.34 (j,mol/L. Spiked detection of OTC was applied for the sensor in actual water samples, with relative standard deviations (RSDs) of 93.2%-108.7%. These results indicate that the proposed MIP/rGO/SPE sensor has the ability to accurately, rapidly and selectively detect OTC in water samples. © The Institution of Engineering & technology 2024.

关键词： Reduced Graphene Oxide

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MAPPING-BASED DRIFT FAULT REPAIR METHOD FOR ARRAY INERTIAL DEVICES 9

MAPPING-BASED DRIFT FAULT REPAIR METHOD FOR ARRAY INERTIAL D...

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9th International Symposium on Test Automation and Instrumentation, ISTAI 2022

作者： Chen, Hao Su, Zhong Xu, Zhan Li, Qing 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 Information Science & Technology University Beijing China

ISBN: (纸本)9781839538391

The array inertial device can significantly improve the positioning accuracy of the wearable autonomous positioning system, but it is difficult to avoid faults in the working process of the array inertial device, even if the fault is detected, the positioning system will fail. Aiming at the fault that the acceleration drift of array inertial device increases in the process of motion in the wearable autonomous positioning system of emergency rescue personnel, a fault repair method of acceleration array based on BP neural network was proposed. Through data fusion of accelerometer and gyroscope, a fault repair method based on mapping contrast elimination is implemented. The experimental results of twelve IMU array data fusion and fault repair show that the proposed method can be used to repair the typical faults with the increase of accelerometer drift in the array inertial device. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Repair

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EXPERIMENTAL STUDY ON VIBRATION CHARACTERISTICS OF CONFLUENCE PLANETARY ROW WITH STEADY-STATE CONDITIONS 9

EXPERIMENTAL STUDY ON VIBRATION CHARACTERISTICS OF CONFLUENC...

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9th International Symposium on Test Automation and Instrumentation, ISTAI 2022

作者： He, Yu Tang, Changliang Liu, Xiaobo Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China Science and Technology on Particle Transport and Separation Laboratory Tianjin300180 China

ISBN: (纸本)9781839538391

The confluent planetary row is an important part of the integrated transmission device of tracked vehicles, which has been in complex working conditions for a long time, and the vibration problem is very obvious. When the vehicle runs at a uniform speed in the comprehensive transmission of smooth road conditions, the confluence planetary row is mainly subject to steady-state excitation. In this paper, focusing on the confluence planetary row under steady-state conditions, the dynamic model of the confluence planetary row gear system under steady-state condition is established, and the dynamic characteristics of the confluence planetary row under constant speed and load are calculated. The comprehensive test-bed of the confluence planetary row vibration is designed and built. The steady-state condition test of the confluent planetary row is carried out. The confluence planetary row's vibration characteristics in time and frequency domain are analyzed. The basic response characteristics of the confluence planetary row gear system under no-load condition and the vibration characteristics under constant speed and constant load condition are obtained. The conclusions have theoretical support and engineering value for vibration reduction and condition monitoring of the confluence planetary row system. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Condition monitoring

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DYNAMIC ANALYSIS AND EXPERIMENTAL STUDY OF CONFLUENCE PLANETARY ROW UNDER TRANSIENT TORQUE SHOCK 9

DYNAMIC ANALYSIS AND EXPERIMENTAL STUDY OF CONFLUENCE PLANET...

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9th International Symposium on Test Automation and Instrumentation, ISTAI 2022

作者： Liu, Qirui Tang, Changliang Liu, Xiaobo Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China Science and Technology on Particle Transport and Separation Laboratory Tianjin300180 China

ISBN: (纸本)9781839538391

Confluence planetary row is an indispensable part of the comprehensive transmission of tracked vehicles. When the vehicle is in constant speed climbing and braking conditions, the confluence planetary row system will withstand transient torque shock, which is directly related to the dynamic characteristics of the vehicle transmission. Considering the impact of time-varying meshing bending stiffness, torsional stiffness, meshing damping, meshing error and other parameters, the dynamic model of the confluence planetary gear train system under the action of transient torque shock is established, and the comprehensive time-domain vibration characteristics are studied in combination with experiments. The results show that under the encouragement of rectangular torque impact, the components of the modulation sideband appear around the meshing frequency and octave frequency in each speed, and the development trend of amplitude response is similar to that of square torque impact encouragement. Under the impact excitation of saw tooth torque, there are obvious changes of multiple vibration impacts;The research results play an important role in reducing vibration and noise and optimizing the structure of the confluence planetary row. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Torque

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Study on coupling fault diagnosis of the planetary transmission gearbox by using wavelet transform and 1DCNN

Study on coupling fault diagnosis of the planetary transmiss...

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10th International Symposium on Test Automation & Instrumentation (ISTAI 2024)

作者： Baolin Qiu Chao Ma Shaohong Wang key laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology Beijing People's Republic of China

ISBN: (数字)9781837241910

Considering the susceptibility of planetary transmission to strong noise interference, a fault diagnosis method is proposed based on Morlet wavelet transform and 1D Convolutional Neural Network (1DCNN). Firstly, the acceleration captured from the transmission is dealt with angle resampling to reduce the dependence of speed on signal characteristics, and band-pass filtering is performed, which parameter is determined by using the fast spectral kurtosis algorithm. Subsequently, the filtered data is decomposed into several multiple intrinsic mode function (IMF) components with the EEMD algorithm and reconstructed according to the correlation coefficient parameter. Then reconstructed data is subjected to further noise reduction processing using wavelet transform and the amplitude in the scale parameter with the highest kurtosis as the input to 1DCNN for training and fault diagnosis classification. The experimental results show that the proposed method can effectively reduce noise interference, the fault diagnosis accuracy of the processed data is relatively high. The fault diagnosis accuracy of the processed data is significantly higher than that of the raw data.

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Dynamical Modeling and Dynamic Characteristics Analysisof a Coaxial Dual-Rotor System

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Journal of Dynamics, Monitoring and Diagnostics 2024年第2期3卷 99-111页

作者： Yubin Yue Hongjun Wang Shenglun Zhang China Academy of Machinery Science and Technology Group Co. Ltd.BeijingChina School of Mechanical and Electrical Engineering Beijing Information Science and Technology UniversityBeijingChina Key Laboratory of Modern Measurement and Control Technology Ministry of EducationBeijing Information Science and Technology UniversityBeijingChina Beijing International Science and Technology Cooperation Base of High-end Equipment Intelligent Perception and Control Beijing Information Science and Technology UniversityBeijingChina

The dual-rotor structure serves as the primary source of vibration in aero-engines. Understanding itsdynamical model and analyzing dynamic characteristics, such as critical speed and unbalanced response, arecrucial for rotor system dynamics. Previous work introduced a coaxial dual-rotor-support scheme for aeroengines,and a physical model featuring a high-speed flexible inner rotor with a substantial length-to-diameter ratiowas designed. Then a finite element (FE) dynamic model based on the Timoshenko beam elements and rigid bodykinematics of the dual-rotor system is modeled, with the Newmark method and Newton–Raphson method used forthe numerical calculation to study the dynamic characteristics of the system. Three different simulation models,including beam-based FE (1D) model, solid-based FE (3D) model, and transfer matrix model, were designed tostudy the characteristics of mode and the critical speed characteristic of the dual-rotor system. The unbalancedresponse of the dual-rotor system was analyzed to study the influence of mass unbalance on the rotor system. Theeffect of different disk unbalance phases and different speed ratios on the dynamic characteristics of the dual-rotorsystem was investigated in detail. The experimental result shows that the beam-based FE model is effective andsuitable for studying the dual-rotor system.

关键词： coaxial dual-rotor system dynamical modeling dynamic characteristics analysis rotor dynamics

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Kinematics Analysis and Verification of Delta Parallel Robot 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： Huang, Weixuan Wang, Hongjun Mao, Xiangxiang School of Mechanical Electrical Engineering Beijing Information Science and Technology University Beijing100192 China Beijing International Science Cooperation Base of High-End Equipment Intelligent Perception Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing100192 China

ISBN: (数字)9783031494215

ISBN: (纸本)9783031494208

The Delta parallel robot is a high-speed and high-precision platform widely used in many fields, including manufacturing, logistics and healthcare. In kinematic analysis, it is necessary to determine the position and pose of the robotic end-effector. The position and pose of the end-actuator can be determined by trigonometric functions and vector operations. In workspace analysis, it is necessary to determine the range of positions and poses that robots can reach. This paper uses the geometric method and numerical vector analysis to solve the inverse kinematics and positive kinematics, verifies the rationality of the kinematics analysis and the correctness of the model, makes the simulation analysis of the working space of the parallel robot, provides the important guidance for the control and planning of the robot, and optimizes the performance and application of the robot. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Inverse kinematics

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Lower limb gait recognition method based on knowledge distillation

Lower limb gait recognition method based on knowledge distil...

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10th International Symposium on Test Automation & Instrumentation (ISTAI 2024)

作者： Mengdi Wang Shaohong Wang Chao Ma Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology Beijing People's Republic of China

ISBN: (数字)9781837241910

The need for assistive devices such as lower limb exoskeletons is steadily growing, making quick and precise gait recognition essential for optimal operation of these apparatuses. The knowledge distillation method was applied to gait recognition in this work. First, we took participant lower limb gait data, which we then resampled with step frequency taken into account. Next, multi-layer perceptron (MLP) with distinct layers were modeled by educators and students. The process of knowledge distillation was used to improve the accuracy of participant activity recognition by transferring knowledge from the sophisticated teacher model to the lightweight student model. On the training set, the teacher model's accuracy average was 96.4%. Following the process of knowledge distillation, the accuracy of the student model was 95.48%, representing a 1.12% improvement compared to the non-distilled model, with only 0.53M parameters and shorter training duration. The results demonstrate that knowledge distillation can improve the recognition speed and stability of gait recognition models, enabling more accurate and reliable results within the same patient population, thus providing more effective support for medical diagnosis and rehabilitation treatment.

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Research on Gas Turbine Rotor Fault Diagnosis Method Based on VIT Model and Transfer Learning

Research on Gas Turbine Rotor Fault Diagnosis Method Based o...

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作者： Qiao, Qi Wang, Hongjun School of Mechanical Electrical Engineering Beijing Information Science and Technology University Beijing100192 China Beijing International Science Cooperation Base of High-End Equipment Intelligent Perception Beijing100192 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing100192 China

ISBN: (纸本)9783031494208

Aiming at the problems of difficulty in fault data collection and scarcity of fault samples in gas turbine rotor fault diagnosis, a gas turbine rotor fault diagnosis model based on VIT model and transfer learning is proposed. Firstly, the acquired one-dimensional vibration signal is converted into a two-dimensional time–frequency image by continuous wavelet transformation as the input of the VIT model, and the fault diagnosis is realized through its recognition of time–frequency image and feature extraction. Using CRWU bearing dataset to pre-train the model combined with transfer learning, only the weights in the MLP Head structure are migrated by freezing the part before the MLP Head structure and using the gas turbine rotor dataset fault classification, the results show that the fault recognition accuracy reaches 99.5% after transfer learning, and the superiority of the proposed model is proved by comparative experiments. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Failure analysis

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Enhancing privacy protection in intelligent and connected vehicles: a styleGAN3-based image desensitization dataset and framework 4

Enhancing privacy protection in intelligent and connected ve...

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4th International Conference on Advanced Algorithms and Neural Networks, AANN 2024

作者： Wang, Jingyan Wang, Liyong Ji, Haojie Fang, Junzhe Guo, Teng Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University No.12 Xiaoying East Road Haidian District Beijing100192 China Zaozhuang Network Security Center No. 2621 Guangming Avenue Xuecheng District Shandong Province 277020 China

ISBN: (纸本)9781510686106

Intelligent and connected vehicles (ICVs) collect vast video footage, inadvertently capturing privacy-sensitive data. To address this, we introduce the IDD-ICV dataset, featuring diverse in-vehicle camera footage. To protect privacy, we propose a styleGAN3 based framework that integrates MHA (Multi-Head Attention) for detecting and desensitizing facial data in datasets. This approach ensures compliance with data security standards and enhances ICVs' privacy protection capabilities during the life cycle of data. Our study contributes to the development of secure and trustworthy autonomous transportation systems by demonstrating the effectiveness of our framework in safeguarding privacy-sensitive information. © 2024 SPIE.

关键词： Differential privacy

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