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检索条件"机构=Key Laboratory of Modern Measurement&Control Technology"

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STUDY ON COUPLING FAULT DIAGNOSIS OF THE PLANETARY TRANSMISSION GEARBOX BY USING WAVELET TRANSFORM AND 1DCNN 10

STUDY ON COUPLING FAULT DIAGNOSIS OF THE PLANETARY TRANSMISS...

引用

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

作者： Qiu, Baolin Ma, Chao Wang, Shaohong Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology Beijing China Beijing Key Lab of Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology Beijing China

ISBN: (纸本)9781837242672

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. © The Institution of Engineering & technology 2024.

关键词： Noise abatement

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PERIODIC STATISTICAL ANALYSIS OF GAIT PHASE SEGMENTATION 10

PERIODIC STATISTICAL ANALYSIS OF GAIT PHASE SEGMENTATION

引用

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

作者： Fu, Mingkai Wang, Shaohong Ma, Chao Key Laboratory of Modern Measurement and Control Technology Ministry of Edu. Beijing Information Science and Technology Beijing China Beijing Key Lab of Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology Beijing China

ISBN: (纸本)9781837242672

In order to achieve accurate segmentation of gait phases for precise real-time control of lower limb exoskeleton robots, the periodic statistical analysis of human motion posture by using the inertial measurement unit is conducted. In current research, the data of forward and turning gait types were acquired and every gait type data were devised into eight for different gait phase segmentation. During the process, the phase division values for different types of subjects were calculated and the phase division of different subjects with the same gait type was calculated. The standard deviations for different gaits and phases for the same experimenter are all below 10, primarily oscillated around 4. For gait data from different subjects, the percentages at the same phase are all below 3. The results showed that the results from the feasible method could better accord with the characteristics of each stage of actual *** those results could provide reference for real-time judgment of gait phase and technical support for intelligent control of lower limb exoskeletons. © The Institution of Engineering & technology 2024.

关键词： Exoskeleton (Robotics)

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LOWER LIMB GAIT RECOGNITION METHOD BASED ON KNOWLEDGE DISTILLATION 10

LOWER LIMB GAIT RECOGNITION METHOD BASED ON KNOWLEDGE DISTIL...

引用

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

作者： Wang, Mengdi Wang, Shaohong Ma, Chao Key Laboratory of Modern Measurement and Control Technology Ministry of Edu. Beijing Information Science and Technology Beijing China Beijing Key Lab of Measurement and Control of Mechanical and Electrical System Beijing Information Science and Technology Beijing China

ISBN: (纸本)9781837242672

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. © The Institution of Engineering & technology 2024.

关键词： Exoskeleton (Robotics)

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RESEARCH ON AUTONOMOUS INTERVAL MAINTENANCE IN COLLABORATIVE FLIGHT OF UNMANNED AERIAL VEHICLES 10

RESEARCH ON AUTONOMOUS INTERVAL MAINTENANCE IN COLLABORATIVE...

引用

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

作者： Ling, Xing Wang, Weiye Li, Qing School of Automation Beijing Information Science & Technology University Beijing China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing China

ISBN: (纸本)9781837242672

This study investigates the use of the Vicsek model for maintaining autonomous intervals in the cooperative flight of unmanned aerial vehicles (UAVs). Although the Vicsek model effectively simulates group movement, it does not inherently maintain safe intervals between drones. To address this limitation, we propose an enhanced approach that incorporates a speed adaptive mechanism and a repulsive force mechanism. The speed adaptive mechanism dynamically adjusts the drone's speed based on its proximity to neighboring drones, slowing down when in close proximity and speeding up when further apart, thus preventing collisions. Additionally, the repulsive force mechanism ensures that drones maintain a safe distance from each other, even in high-density areas, thereby avoiding clustering and maintaining formation stability. Our simulation results indicate that drones equipped with these mechanisms achieve direction and speed consistency more rapidly, effectively avoid collisions in dense environments, and enhance overall movement speed and task execution efficiency. This approach provides a robust solution for autonomous interval maintenance in UAV swarms, ensuring safe and efficient collaborative operations in complex environments. The findings of this study contribute significantly to the field of UAV collaborative flight, offering practical implications for military reconnaissance, agricultural management, logistics, and disaster relief applications. © The Institution of Engineering & technology 2024.

关键词： Drones

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SHORT-TERM TRAFFIC FLOW FORECASTING USING ADAPTIVE ECHO STATE NETWORKS 10

SHORT-TERM TRAFFIC FLOW FORECASTING USING ADAPTIVE ECHO STAT...

引用

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

作者： Li, Zhouyang Wang, Weiye Li, Qing School of Automation Beijing Information Science & Technology University Beijing China Ministry of Education Key Laboratory of Modern Measurement & Control Technology Beijing China

ISBN: (纸本)9781837242672

In recent years, with the increase in vehicle volume, the traffic system has been inconvenienced. Therefore, the timeliness and accuracy of traffic flow prediction are crucial to the overall efficiency of the traffic system. Echo state network (ESN) has attracted extensive attention in the field of time series and traffic flow prediction due to its simple concept, low computational cost and simplicity. However, the traditional ESN model has certain limitations in terms of prediction accuracy and stability when facing complex and changeable traffic flow data. In order to solve this problem, this paper proposes an ESN prediction model combined with adaptive optimization. The simulated annealing algorithm is used to optimize the configuration of several important parameters of ESN, thereby improving the prediction performance and stability of the model. The experimental results show that the optimized ESN model is significantly better than the traditional ESN method in terms of prediction accuracy and stability. The monthly mean absolute percentage error (MAPE) is reduced from 10.05% to 6.6%, and the average error of each detector is reduced from 9.5% to 6.61%. This study proposes a more efficient and reliable method for short-term traffic flow prediction, which shows potential value in practical applications. © The Institution of Engineering & technology 2024.

关键词： Simulated annealing

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ICEEMDAN and LSTM Spindle System Fault Diagnosis Method

ICEEMDAN and LSTM Spindle System Fault Diagnosis Method

引用

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： Wang, Nan Wang, Hongjun Zhang, Zhuangzhuang Chen, Baisheng School of Mechanic and Electric Engineering BISTU Beijing100192 China Key Laboratory of Modern Measurement and Control Technology BISTU Beijing100192 China

ISBN: (纸本)9783031494123

Research on fault diagnosis of rotating machinery is crucial as it serves as a core component. In order to diagnose spindle system fault types quickly and accurately, Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) and Long Short-Term Memory (LSTM) fault diagnosis method is presented. Firstly, collect the fault vibration, then ICEEMDAN is used for vibration signals to extract seven times domain features and four frequency domain features. Finally, the time domain and frequency domain features’ parameters are input into the LSTM network for fault classification. The method is verified for the practical industrial CNC machine center spindle system. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Empirical mode decomposition

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measurement AND control OF TEMPERATURE CHARACTERISTICS OF PIEZOELECTRIC COMPOSITES 10

MEASUREMENT AND CONTROL OF TEMPERATURE CHARACTERISTICS OF PI...

引用

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

作者： Zhao, Hanqing Liao, Qingwei Li, Yinghao Bai, Zhiqi Wang, Likun Zhong, Chao Qin, Lei Key Laboratory of Sensors Beijing Information Science and Technology University Beijing100192 China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University Beijing100192 China

ISBN: (纸本)9781837242672

Type 1-3 piezoelectric composite vibrators are commonly used in hydroacoustic detection, nondestructive flaw detection and medical ultrasound due to their high electromechanical characteristics and high stability. The temperature stability of piezoelectric composites is one of the key issues in the design of piezoelectric composites due to the large difference in the temperature characteristics of the polymer and piezoelectric ceramic phases, and the research on the testing method of the temperature deformation of piezoelectric composite oscillators can provide a reliable basis for the screening of piezoelectric composite oscillators for transducers, and promote the improvement of the piezoelectric composite oscillator design and preparation process, which has great significance for the performance enhancement of the transducer and the sonar system. It is of great significance for the improvement of transducer and sonar system performance. In this paper, the temperature characteristics of six piezoelectric composites with different polymer phases are compared, and the results show that the 9110B and 9110W silicone piezoelectric composites have better temperature stability. The relative change in frequency constant of 9110B silicone piezoelectric composite is 0.12 and the relative change in dielectric constant is 2.29 under the variable temperature environment from 25 °C to 120 °C. © The Institution of Engineering & technology 2024.

关键词： Silicones

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DECOUPLING AND PREPARATION OF FLEXIBLE HAPTIC THREE-DIMENSIONAL FORCE SENSOR 10

DECOUPLING AND PREPARATION OF FLEXIBLE HAPTIC THREE-DIMENSIO...

引用

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

作者： Fu, Minghui Gao, Guowei Wang, Chao Li, Yansheng Hu, Jingfang Beijing Key Laboratory of Sensor Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

An asymmetric capacitive haptic sensor structure with three-dimensional force detection capability has been designed. The sensor unit comprises a upper public electrode, three under electrode plates and fork finger electrodes. Developed a visualization interface for this system by PyQt5. A series of tests were conducted on the sensor, including tensile and flex fatigue tests, single and dynamic pressure performance tests, tangential force performance tests and three-dimensional force tests. The response time of the sensor was found to be 3.5 seconds, while the recovery time was 5.5 seconds. The sensitivity of the Z-axis was 0.081 Kpa-1 in the range of 0 to 4.22 Kpa and 0.014 Kpa-1 in the range of 4.22 to 29.31 Kpa, the sensitivities in the positive and negative directions of the X-axis was 0.223 pF/N and -0.248 pF/N, while the sensitivities in the positive and negative directions of the Y-axis was 0.242 pF/N and -0.243 pF/N. The tests demonstrates that the sensor exhibited satisfactory flexibility, repeatability, and a linearity of 0.16%, thereby ensuring reliable measurement outcomes. © The Institution of Engineering & technology 2024.

关键词： Tensile testing

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PREPARATION OF PVDF FILMS BY ELECTROSPINNING AND THEIR APPLICATION IN A HUMAN POSTURE RECOGNITION SYSTEM 10

PREPARATION OF PVDF FILMS BY ELECTROSPINNING AND THEIR APPLI...

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

作者： Lu, Dinghong Gao, Guowei Lu, Zhongxiao Hu, Jingfang Li, Yansheng Beijing Key Laboratory of Sensor Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

This study prepared polyvinylidene fluoride/zinc oxide (PVDF/ZnO) piezoelectric films using electrospinning. The films were characterized using scanning electron microscopy (SEM) and X-ray diffraction (XRD), and their performance was tested to determine the optimal ZnO doping ratio of 15 wt%. Sensor sensitive elements were created using screen printing, and a non-array sensor layout was designed, resulting in a tactile sensor cushion. A pressure data acquisition system was developed using a microcontroller to collect sitting posture data. A posture recognition system was built using a support vector machine (SVM) classification algorithm, achieving a recognition accuracy of 88.33% with different kernel functions. Finally, the pressure distribution on the sensor array was displayed through a graphical interface. © The Institution of Engineering & technology 2024.

关键词： Piezoelectricity

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PREPARATION OF TRIBOELECTRIC FLEXIBLE SENSOR AND ITS APPLICATION IN PULSE DETECTION 10

PREPARATION OF TRIBOELECTRIC FLEXIBLE SENSOR AND ITS APPLICA...

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

作者： Zhang, Longfei Gao, Guowei Zhang, Mingrui Li, Yangsheng Hu, Jingfang Beijing Key Laboratory of Sensor Beijing Information Science and Technology University Beijing100101 China Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

The PDMS/GO composite film with porous structure was successfully prepared by sacrificial template method. The output performance test and morphology characterization analysis of composite films with different sacrificial particle sizes, different thicknesses and different mass fractions of graphene oxide (GO) were carried out. The optimal particle size and thickness were 63 ~ 75 μm and 3 mm, respectively, and the optimal doping ratio was 10wt %, and the triboelectric flexible sensor array was prepared. Design signal conversion circuit, power module, reset circuit, gating circuit, and upload to the host computer to process data and display. In the process of pulse signal acquisition, five groups of pulse data were collected from four students, and the collected data were analyzed and compared. The experimental results show that the five groups of pulse data of each student are almost consistent, and the influence of the subjects ' breathing and other subtle factors during the test will lead to different test results. Through the overall analysis, the overall difference value of the data is small, and the maximum difference is within0.15V. It shows that the sensor performs well in terms of sensitivity and repeatability. © The Institution of Engineering & technology 2024.

关键词： Surface discharges

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