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2010 International Conference on Computer Application and System Modeling, ICCASM 2010

作者： Tang, Huiyan Wang, Likun Qin, Lei Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Ministry of Education Beijing China

ISBN: (纸本)9781424472369

Piezoelectric Disc Stack Acoustic Transducer was mainly made of piezoelectric ceramic discs, which were bonded together concentrically with epoxy resin. Because of piezoelectric effect and the anisotropy characteristics of piezoelectric ceramic, when electronic signals were put on the power-lead electrodes in the thickness direction, the radial vibration generated and could be measured. In this article, the vibration model of the disc stack transducer was analyzed with the method of finite-element method. Transducer models were established with ANSYS 10.0 both in air and in water. The relationship between the transducer work frequency and its structure dimension was acquired. According to the radial vibration features and the finite element method simulation results, the structure of the acoustic transducer was optimized. Besides that, a series of experiments including impedance analysis and laser scanning vibration on the transducer sample was carried out to verify the simulation results. All the results conformed well. © 2010 IEEE.

关键词： Finite element method

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Bit-Level Composite Signal Design for Simultaneous Ranging and Communication

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China Communications 2021年第6期18卷 214-227页

作者： Weigang Chen Yalong He Changcai Han Jinsheng Yang Zhan Xu School of Microelectronics Tianjin UniversityTianjin 300072China Key Laboratory of Modern Measurement and Control Technology Beijing 100192China School of Information and Communication Engineering Beijing Information Science and Technology UniversityBeijing 100192China

As the complexity of space exploration missions augments,how to enhance the overall performance of communication,ranging or other functions has become a challengeable *** the integration of communication and ranging,we present a bit-level composite signal for simultaneous ranging and *** this composite method,through a specially designed mapping scheme using low-weight codewords,the information sequence is converted to a sparse sequence which is then superimposed on the ranging *** ranging,the correlation characteristics of the ranging code component can be maintained to calculate the transmitter-receiver *** communications,the sparse sequence can be extracted without interference by eliminating the ranging code *** results show that the proposed composite signal can support communication and ranging simultaneously with limited sacrifice of ranging performance,and the performance loss of ranging can be controlled and minimized by lowering the density of information sequences using different sparsification encoding methods.

关键词： composite signal spectrum sharing lowweight codeword regenerative PN ranging code

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Application of Noise Reduction Method Based on Birgé-Massart Threshold

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仪器仪表学报 2013年第S1期34卷 134-137页

作者： Xu Xiaoli Jiang Zhanglei Zuo Yunbo Wu Guoxin School of Mechanical and Vehicle Engineering Beijing Institute of Technology Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University

Flue gas generator set is a kind of large high-speed rotating machinery in petrochemical *** research focuses on noise reduction algorithms basis ontheBirgé-*** the threshold through Penalization Strategy Provided by Birgé-Massart;constructed different modulus maximum vertex neighborhood on different wavelet transform decomposition scales to influence the search process of modulus maximum point;obtained the appropriate modulus maximum points sequence on various wavelet decomposition scales;highlighted state feature information;finally usedMallat staggered projection to reconstruct *** order to validate the effectiveness of the algorithm,it was compared with four kinds of threshold noise suppression methods namely Rigrsure,Sqtwolog,Heursure,*** results show that this algorithm has a better signal to noise ratio and mean-square error.

关键词： feature extraction modulus maximum punishment strategies

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Fault Diagnosis Method of Wind Turbine Gearbox Based on Deep Belief Network and Vibration Signal 57

Fault Diagnosis Method of Wind Turbine Gearbox Based on Deep...

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

作者： Xiuli, Liu Xueying, Zhang Liyong, Wang Beijing Information Science and Technology University Key Laboratory of Modern Measurement Control Technology of Ministry of Education Beijing100192 China

ISBN: (纸本)9784907764609

With the development of wind power, the fault of wind turbine is increasing year by year. The gearbox is the fault multiple component of the wind turbine. The monitoring system gets massive data, and the health monitoring of the fan has also entered the era of 'big data'. The new problem in the field of health monitoring of mechanical equipment is to excavate information from these large data and to identify the health status of equipment efficiently and accurately. Deep learning is an effective tool for large data processing. Based on the strong perception and self-learning ability of deep learning theory, a fault diagnosis method of wind turbine gearbox based on deep belief network and vibration signal is proposed in this paper. The original fault sample vibration signal is input to the deep belief network to get the deep learning sample model. At the same time, Batch Normalization is added to reduce the overfitting probability and improve the convergence speed of the network. Then the trained deep neural network model is applied to the fault diagnosis of the planetary gear box of the wind turbine gearbox, and the results show that the method is more accurate than the DBN, the BPNN algorithm and the traditional fault diagnosis method. © 2018 The Society of Instrument and control Enginners - SICE.

关键词： Wind turbines

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Review of fault diagnosis methods for rotating machinery based on deep learning 8

Review of fault diagnosis methods for rotating machinery bas...

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8th International Symposium on Test Automation and Instrumentation, ISTAI 2020

作者： Guo, Yong L. Wu, Guo X. Liu, Xiu L. Xu, Xiao L. Ministry of Education Key Laboratory of Modern Measurement and Control Technology Beijing Information Science&Technology University Beijing China

ISBN: (纸本)9781839535635

Mechanical equipment fault diagnosis technology is a new research field with the development of modern science and technology. In recent years, the deep learning has been applied into the field of mechanical equipment fault diagnosis by more and more researchers. Deep learning has been widely applied in various industries and fields with its unique advantages in feature extraction and pattern recognition. The development history of deep learning is first briefly reviewed. Then, four fault diagnosis methods based on deep learning model are emphatically analyzed combined with the characteristics and requirements of fault diagnosis technology for large rotating machinery equipment, and the problems and challenges they face are discussed. Finally, the research direction worth to be carried out in the future is prospected. © 2020 Institution of Engineering and technology. All rights reserved.

关键词： Rotating machinery

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Image enhancement algorithm of Dongba manuscripts based on wavelet analysis and grey relational theory 13

Image enhancement algorithm of Dongba manuscripts based on w...

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2017 13th IEEE International Conference on Electronic measurement & Instruments (ICEMI)

作者： Xia Xinyu Wu Guoxin Zhu Chunmei Ding Chunyan Geng Qiaoman Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University Minzu University of China

ISBN: (纸本)9781509050369;9781509050352

Image enhancement is an important part of the image processing of Dongba manuscripts. For the low-contrast and fuzzy Dongba manuscripts image, in this paper, an image enhancement algorithm based on wavelet analysis and grey relational analysis is proposed. Firstly, the wavelet transform is used to decompose the Dongba manuscripts image into three levels, and the corresponding low-frequency components and high-frequency components are obtained. Then, the interference signal and the useful signal in the high frequency component are distinguished by the grey relation analysis theory. Finally, inverse wavelet transformation is used to reconstruct the image so that the contrast enhancement and background suppression can be achieved. The experimental results show that compared with the conventional filtering method and wavelet threshold denoising enhancement method, the proposed method has the highest peak signal-to-noise ratio, suppresses the noise while enhancing the image details and improving the image contrast.

关键词： wavelet transform grey relation analysis image enhancement Dongba manuscripts image

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Research on denoising methods of linear CCD spectrum data using combined filter based on wavelet threshold 13

Research on denoising methods of linear CCD spectrum data us...

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2017 13th IEEE International Conference on Electronic measurement & Instruments (ICEMI)

作者： Zhang Long Wu Guoxin Ding Chunyan Lu Jiwei Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science & Technology University Minzu University of China

ISBN: (纸本)9781509050369;9781509050352

Due to the influence of various factors, such as the test environment, the instrument itself and the target's spectrum characteristics, the measured linear CCD spectrum data contains noise. If the noise can not be removed effectively, the results of spectrum detection will be affected. Since the noise contained in the linear CCD spectrum data is mainly Gauss white noise and impulsive noise, a combined filter method based on wavelet threshold and median filter is proposed to denoise the linear CCD spectrum data in this paper. The simulation spectrum data and the measured spectrum data captured by spectrum instrument are used to check the validity of this method. The simulation results show that using the combined filter method, the noise of the spectrum data can be effectively reduced, and the signal-to-noise ratio of the spectrum signal is improved.

关键词： linear CCD spectrum data denoising wavelet threshold median filter combined filter

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DESIGN OF AN ELECTROMAGNETICALLY TUNED MASS DAMPER AND ITS EXPERIMENTAL STUDY ON VIBRATION REDUCTION FOR FLYWHEEL ROTOR SYSTEMS 10

DESIGN OF AN ELECTROMAGNETICALLY TUNED MASS DAMPER AND ITS E...

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

作者： Nie, Haidu Tang, Changliang Mu, Mengliang Xu, Henglei Key Laboratory of Modern Measurement and Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100192 China

ISBN: (纸本)9781837242672

The trend towards higher speeds in flywheel energy storage systems is highlighting the need for improved bearing support. To overcome the limitations of traditional oil dampers, such as narrow damping range and insufficient damping, this study introduces an Electromagnetic Tuned Mass Damper (ETMD) designed for high-speed, low-inertia flywheel systems. Using Comsol finite element software, a model was created to optimize the damper's parameters. A comparative experiment was conducted between the newly designed ETMD and a conventional oil damper on vibration damping single point flexible support. The experimental findings indicate that a uniform arrangement of permanent magnets within the eddy current damper yields greater damping forces, with the damping coefficient significantly increasing at amplitudes beyond 0.2 mm, and notably effective in controlling low-frequency vibrations within the 75 Hz to 25 Hz range. Although the magnetic yoke is crucial, variations in its thickness minimally affect performance, and the optimal damping effect is achieved with a back iron thickness of 4mm, highlighting the existence of an ideal thickness for the back iron. Rotor experiments have demonstrated that eddy current dampers demonstrate enhanced vibration control with amplitudes of 49 urn, outperforming hydrodynamic dampers at 75 μm during acceleration and 71 μm during deceleration. © The Institution of Engineering & technology 2024.

关键词： Permanent magnets

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STUDY OF THE SENSITIVITY MECHANISM OF A FLEXIBLE TEMPERATURE SENSOR 10

STUDY OF THE SENSITIVITY MECHANISM OF A FLEXIBLE TEMPERATURE...

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

作者： Sun, Jiahao Piao, Linhua Zhang, Yonghao Beijing Key Laboratory of Sensors Beijing China Modern Measurement and Control Technology Ministry of Education Beijing China

ISBN: (纸本)9781837242672

In this paper, a structure of a flexible temperature sensor is proposed. And its sensitivity mechanism is investigated. A physical model is established based on the proposed structure. A mathematical model is established based on the actual situation. A 3D model of the structure is created by COMSOL software. In which the mathematical model is studied for this sensor. The temperature field within this sensitive structure was calculated using the finite element method. The corresponding material properties in the sensor structure were set. Setting up the physical fields required for operation. Mesh this 3D structure. Setting the external ambient temperature. Setup of the type of study according to the actual situation. The sensor detects the ambient temperature. Calculations are made based on the results of the finite element method, combined with the corresponding theoretical formulas. It is calculated that the temperature coefficient of resistance is 0.0316/° C in the temperature range of -18~80 °C, and the nonlinearity is 1.36%. There results conclude that the relationship between temperature and resistance is proportional. This lays a theoretical foundation for the optimisation of subsequent structural studies of flexible temperature sensors. It facilitates further performance enhancement in subsequent research. This promotes the research progress in related fields. © The Institution of Engineering & technology 2024.

关键词： Velocity measurement

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RESEARCH PROGRESS ON WIRELESS SENSOR NETWORKS FOR MECHANICAL VIBRATION MONITORING: A CITESPACE VISUALIZATION ANALYSIS APPROACH 10

RESEARCH PROGRESS ON WIRELESS SENSOR NETWORKS FOR MECHANICAL...

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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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