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

作者： Zha, Zhendong Jiang, Zhanglei Li, Zihan Liu, Xiuli Wu, Guoxin The Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing Information Science & Technology University Beijing100192 China

ISBN: (纸本)9781837242672

The application of wireless sensor networks (WSNs) in mechanical vibration monitoring is pivotal for achieving efficient monitoring within the realms of industrial automation and intelligent manufacturing, playing a significant role in the digital transformation and upgrading of China's manufacturing industry. This paper provides a comprehensive overview of the major technological advancements made by scholars and institutions globally over the past sixteen years in the domain of mechanical vibration monitoring using WSNs. Subsequently, employing CiteSpace for knowledge mapping and visualization, a multifaceted statistical analysis is conducted on over four hundred publications from both domestic and international sources. Through clustering analysis, keyword co-occurrence, and other analytical techniques, the paper delineates the multidimensional evolution of research hotspots and the dynamics of author collaboration networks over time. Building on this foundation, the paper delves into the cutting-edge trends of the field, emphasizing the critical importance of establishing efficient energy management systems and leveraging machine learning and artificial intelligence to process large-scale sensor data. These strategies are essential for optimizing system performance and propelling the development of WSNs towards miniaturization, integration, multifunctionality, systematization, and networking. The synergistic effects of these measures are anticipated to provide robust support for the intelligent upgrade of the manufacturing industry, fostering its progression towards greater efficiency and intelligence. © The Institution of Engineering & technology 2024.

关键词： Information management

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Condition Monitoring and Diagnosis for Grid-connected Photovoltaic Power System

Condition Monitoring and Diagnosis for Grid-connected Photov...

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2013 IEEE 11th International Conference on Electronic measurement & Instruments

作者： Xu Xiaoli Chen Tao Zuo Yunbo Key Laboratory of Modern Measurement & Control Technology Ministry of EducationBeijing Information Science and Technology University

ISBN: (纸本)9781479907571;9781479907588

The photovoltaic power generation directly converts the solar energy into electric energy through photovoltaic cell, which is an important way to solve energy shortage and environmental pollution. In order to raise the reliability and reduce costs of grid-connected photovoltaic power station, we analyze types of common faults and causes, and specify numerous devices and disperse layout, design wireless monitoring diagnosis system to realize wireless monitor and control for grid-connected photovoltaic power station in order to ensure the safe operation.

关键词： Photovoltaic power generation, monitoring, diagnosis.

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Research on Failure Prediction Using DBN and LSTM Neural Network 57

Research on Failure Prediction Using DBN and LSTM Neural Net...

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57th Annual Conference of the Society of Instrument and control Engineers of Japan, SICE 2018

作者： Yuhai, Gu Shuo, Liu Linfeng, He Liyong, Wang Beijing Information Science Technology University Ministry of Education Key Laboratory of Modern Measurement Control Technology Bcijing100192 China

ISBN: (纸本)9784907764609

Because the vibration signal data has a high dimension, ordinary fault prediction methods are very complicated for data preprocessing. A fault diagnosis method combining DBN and LSTM was proposed in this paper. This method uses DBN's excellent feature extraction capability to extract feature vectors of time-series fault data, and uses LSTM network to perform fault prediction on the extracted feature vectors, because LSTM network has good adaptability to sequential data. The author used the bearing data of Case Western Reserve University to build a training set and conduct experiments. Experimental results show that this method can reduce the difficulty of data preprocessing and increase the accuracy of fault prediction. © 2018 The Society of Instrument and control Enginners - SICE.

关键词： Forecasting

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PAPR Reduction in OFDM-IM Using Dither Signal Sets

PAPR Reduction in OFDM-IM Using Dither Signal Sets

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2022 International Conference on Computer Engineering and Artificial Intelligence, ICCEAI 2022

作者： Zhang, Si-Yu Zheng, Hui Ministry of Education Beijing Information Science and Technology University Key Laboratory of Modern Measurement and Control Technology Beijing100101 China

ISBN: (数字)9781665468039

ISBN: (纸本)9781665468039

Similar to most multicarrier modulations, orthog-onal frequency division multiplexing with index modulation (OFDM-IM) also suffers high peak to average power ratio (PAPR) issue due to its inherit structure. In this paper, a novel PAPR reduction scheme for OFDM-IM with dither signals is proposed. Unlike the previous method that utilizes convex programming to determine the optimized signals that are added to the idle subcarriers of OFDM-IM. The proposed scheme utilizes several fixed sets which contain constraint amplitude dither signals to reduce the PAPR. Simulation results show that the proposed scheme can achieve solid PAPR reduction performance similar to that of the classical PAPR reduction schemes (e.g. partial transmit sequence (PTS), selected mapping (SLM)). Moreover, compared with the conventional PAPR reduction scheme with dither signals, the proposed one does not need convex optimization, which owns high computational complexity. Also, by utilizing selected dither signals, the proposed scheme can achieve lower error performance than that of the conventional scheme with dither signal. © 2022 IEEE.

关键词： Peak to average power ratio

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FAST DETECTION ALGORITHM BASED ON YOLOV8 WITH STRUCTURAL REPARAMETERISATION AND GROUPED CONVOLUTIONAL HEADS 10

FAST DETECTION ALGORITHM BASED ON YOLOV8 WITH STRUCTURAL REP...

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

作者： Chen, Xuanyu Wu, Guoxin Zhang, Guolong Zhou, Linglong The Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing Information Science & Technology University Beijing100192 China

ISBN: (纸本)9781837242672

As autonomous driving technology advances swiftly, the precise identification of road signs has become essential for enabling autonomous driving. This paper introduces an enhanced YOLOv8 model for road sign recognition. This model enhances the original C2f module by incorporating the RepViT Block, resulting in the C2f_RVB module. This alteration not only hastens the convergence rate of the model but also markedly boosts detection precision. Furthermore, we introduce a highly efficient architectural framework utilizing lightweight ViTs, which augments the model's detection speed while minimizing the parameter count. Lastly, we incorporate grouped convolution to enhance the detection head of YOLOv8. Tests were conducted utilizing the Street Sign Locator dataset, which was improved with information from the Roboflow stage. The exploratory comes about illustrate that the proposed RVB-YOLOv8 demonstrate accomplishes critical upgrades in discovery measurements like mAP and FLOPs when compared to the initial YOLOv8 demonstrate, whereas too diminishing the number of parameters by one-third. © The Institution of Engineering & technology 2024.

关键词： Convolution

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RESEARCH STATUS AND DYNAMIC ANALYSIS OF DAMPING AND VIBRATION REDUCTION technology OF ROTATING MACHINERY ROTOR SYSTEM 10

RESEARCH STATUS AND DYNAMIC ANALYSIS OF DAMPING AND VIBRATIO...

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

作者： Xu, Jingwen Tang, Changliang He, Shaodong Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

Large rotating machinery in nuclear, power, and petrochemical industries employ multi-span flexible connections. As the rotor length-to-diameter ratio rises, rigid rotors become flexible, exceeding critical speeds and inducing resonance. This challenges supercritical technologies like damping, vibration reduction, balancing, and driving. In view of the vibration problems of flexible rotor systems with wide-band, multi-mode, and multi-criticality, this paper examines damping and vibration reduction. It highlights modern industrial rotating machinery's evolution, analyzes gyro effects, and critiques traditional damping designs like squeeze film dampers for their limited application range. The paper then delves into rotor vibration control, categorizing technologies as active or passive, and outlining principles, advantages, and disadvantages. Active technology offers precision but high costs;passive technology is cost-effective yet limited in effect and scope. Finally, the research and application status of damping and vibration reduction technology in aerospace, civil engineering, machinery, transportation, and other fields are analyzed, which provides a theoretical reference for vibration reduction and noise reduction technology of rotating machinery. © The Institution of Engineering & technology 2024.

关键词： Rotating machinery

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EXPERIMENTAL STUDY ON THE VIBRATION CHARACTERISTICS OF CONFLUENCE PLANETARY ROW IN HEALTH AND BROKEN TEETH FAILURE 10

EXPERIMENTAL STUDY ON THE VIBRATION CHARACTERISTICS OF CONFL...

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

作者： Henglei, Xu Changliang, Tang Haoyan, Chen Shaodong, He Xuelian, Qu Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

As one of the core components to realize dual-power convergence in the transmission device, the confluence planetary row is characterized by large force and high rotational speed in the actual operation process, and its failure is easy to lead to the failure of straight driving and steering function of the crawler vehicle. The design and construction of the converging planetary row vibration test bench, with the planetary wheel broken teeth fault as an example, respectively, to carry out healthy and broken teeth fault confluence planetary row dynamics characteristics of experimental research, through different loads and different degree of broken teeth faults and other groups of tests, for the groups of experimental results of the data analysis of the time-frequency domain response characteristics of the planetary wheel broken teeth faults to get the characteristics of the vibration of the planetary wheel broken teeth faults, as a confluence planetary row failure identification and diagnosis to provide the basis. The vibration characteristics of planetary wheel broken teeth are obtained to provide a basis for the identification and diagnosis of confluence planetary row fault. © The Institution of Engineering & technology 2024.

关键词： Semantic Segmentation

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Shape-controlled Synthesis and Related Growth Mechanism of Pb（OH）2 Nanorods by Solution-Phase Reaction

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Chinese Physics Letters 2010年第5期27卷 223-226页

作者：程进邹小平宋维力曹茂盛苏燚杨刚强吕学明张福学 School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing 100876 Research Center for Sensor Technology Beijing Key Laboratory for Sensor Beijing Information Science and Technology University Jianxiangqiao Campus Beijing 100101 Ministry-of-Education Key Laboratory for Modern Measurement and Control Technology Beijing 100101 School of Material Science and Engineering Beijing Institute of Technology Beijing 100081

We present a simple method to synthesize Pb（OH）2 nanorods by solution-phase reaction. Rod-like lead hydroxide precipitates are obtained by mixing lead nitrate with a concentration of about 0.01 M and potassium hydroxide with concentration of about O.03 M in an aqueous solution. Sodium chloride as an additive is premixed with the lead nitrate aqueous solution. The presence of chloride ions in the precursor solution results in the rod-like morphology of lead hydroxide precipitates. The growth mechanism of the lead hydroxide nanorods is discussed.

关键词： INORGANIC compounds -- Synthesis CRYSTAL growth LEAD compounds SOLUTION (Chemistry) PRECIPITATION (Chemistry) NANOSTRUCTURED materials

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RESEARCH ON GAIT RECOGNITION BY USING 1DCNN BASED ON LOWER LIMB KINEMATIC POSTURE DATA 10

RESEARCH ON GAIT RECOGNITION BY USING 1DCNN BASED ON LOWER L...

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

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

ISBN: (纸本)9781837242672

Gait recognition refers to the process of realizing the detection of human identity or health status and other information according to the characteristics of human plantar pressure, video images or human dynamics indicators. With the advantages of non-contact, non-aggression, no need for cooperation and easy to collect, gait recognition technology has been widely used in recent years in the field of public security criminal investigation, medical care, intelligent transportation and other fields. In this study, to meet the needs of gait recognition, IMU sensors are used to acquire human lower limb motion posture data and wavelet transform is used to decompose several components. Then the components were determined and the optimized 1DCNN model is used to carry out gait recognition research. The results showed that the optimized 1DCNN model for gait recognition task exhibits excellent performance with up to 95% accuracy, 96% recall and Fl value, as well as good computational efficiency, which is valuable for clinical automatic gait recognition analysis, rehabilitation engineering and criminal investigation work. Although there are some errors in some gait classifications, our study provides directions for further optimization of the algorithm to improve the accuracy and robustness of gait recognition. © The Institution of Engineering & technology 2024.

关键词： Crime

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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...

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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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