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30th International Conference on Mechatronics and Machine Vision in Practice, M2VIP 2024

作者： Lyu, Xiaofan Wang, Pingjiang Gao, Chaoyang Zhao, Donglin Wei, Peng Luo, Wenbin Huazhong University of Science and Technology School of Mechanical Science and Engineering Wuhan China Quanzhou Hust Research Institute of Intelligent Manufacturing QuanZhou China Huazhong University of Science and Technology National Numerical Control System Engineering Research Center Wuhan China

ISBN: (纸本)9798350391916

Aiming at the flexibility and reconfigurability needs for fatigue test applications, the demand for a PLCopen-based development framework arises. In this study, we utilize the IEC 61131-3 programmable language and PLCopen specifications to design the controller for electro-hydraulic servo loading system. Firstly, PLCopen group function block diagrams are proposed in accordance with experiments. Multiple groups can manage different experiments simultaneously. Then, PLCopen channel function block diagrams are designed to manage district channels in a group. To correct tracking errors, each channel incorporates a peak-valley phase compensator. Peak-valley phase compensator could potentially be used to adjust for multi-frequency sinusoidal spectrum. Finally, simulation and experiment results verify that tracking error could be kept within a defined neighbourhood region. © 2024 IEEE.

关键词： Fatigue testing

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A clock synchronization method based on IEEE 1588 and its implementation on Ethernet

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Journal of Chongqing University 2008年第2期7卷 145-150页

作者：许万 The State Engineering Research Center of Numerical Control System Huazhong University of Science and Technology

We presented a clock synchronization method that contained a clock adjusting algorithm and a frequency compensated clock to achieve precise synchronization among distributed clocks based on IEEE 1588 ***,we presented its application on Ethernet and implementation of the frequency compensated clock in a field programmable gate array(FPGA) as *** results indicate that this method can support sub-microsecond synchronization with inexpensive standard crystal oscillators.

关键词： clock synchronization clock adjustment frequency compensation IEEE 1588

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Analysis and modeling of the thermal errors of carriage system of a precision machine tool driven by linear motor

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Key engineering Materials 2014年 579-580卷 645-653页

作者： Yuan, Shuai Peng, Fangyu Zhou, Lin Yao, Peifeng National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan 430074 China

ISBN: (纸本)9783037858271

The drive system with linear motor of precision machine tools can generate a lot of heat and part of it is conducted to machine tools structures. Therefore, it can lead to the thermal deformation of the structures and hence seriously influences the processing accuracy. In this paper, the finite element model (FEM) considering convection of the planes, the pipelines of the cooler system and thermal resistance is adopted to investigate the thermal distribution and thermal deformation of the carriage system of precision machine tools driven by linear motor. In addition, position-independent thermal errors models of the carriage system are proposed for the main heat source, the primary part of the linear motor, of the carriage system travels with the worktable;the feature genetic algorithm is used to procure the thermal key points of the carriage due to the great number of candidate points. At last, the experiment is conducted on the Y-axis carriage system of precision three-axis machine tool, which demonstrates the two geometric errors δx and Εz caused by the thermal deformation are significantly tiny. The mathematical models of three thermal errors are obtained through the temperatures of the key thermal points because the interferometer cannot measure the roll error Εy. Also, the comparison between the measurements and the thermal errors models indicates that the position-independent thermal models are capable of satisfactorily predicting the magnitude of the other three geometric errors of the carriage system caused by the thermal deformation and also being used in further study of compensation system.

关键词： Genetic algorithms

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Stochastic Resonance of Asymmetric Bistable system Driven by Binary Signals under α Stable Noise 35

Stochastic Resonance of Asymmetric Bistable System Driven by...

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第35届中国控制会议

作者： JIAO Shang-bin KOU Jie LIU Ding ZHANG Qing National & Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing

ISBN: (纸本)9781509009107

In this paper the asymmetric bistable system excited by binary aperiodic signals is taken as a model and the average symbol error rate is regarded as an index to study stochastic resonance(SR) ***,the SR driven by binary signals under α stable noise is ***,the interplay between the α stable noise parameters α,β,and the system parameters a,b,r on the resonant output effect is *** results show that weak binary signals detection can be realized by adjusting the system parameters a,b and *** optimal values solved by these parameters can make the system produce the best SR *** a certain a or b,there is an optimal value under different α or β.For the parameter r,there is an optimal value under different α,and there are several optimal values under different β.Moreover,when α or β is given different values,the evolution laws in asymmetric bistable SR system excited by binary signals are *** results lay a foundation for realizing the adaptive parameter adjustment in asymmetric bistable SR system with α stable noise.

关键词： α stable noise asymmetric bistable system stochastic resonance symbol error rate

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Modeling and simulation on melt flow and thermal in crystal growth 36

Modeling and simulation on melt flow and thermal in crystal ...

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第36届中国控制会议

作者： Ni Zhang Ding Liu WeiChao Huang National & Local Joint Engineering Research Center of Crystal Growth Equipment and System Integration Xi'an University of Technology Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing

ISBN: (纸本)9781538629185

A coupled thermal flow crystal growth model based on Lattice Boltzmann Method（LBM） is constructed for the internal melt in a single crystal furnace,according to the characteristic that the internal temperature distribution of the melt is difficult to *** the melt’s characteristic on the free surface boundary,the specular reflection scheme is used on the free *** flow pattern and the temperature of the internal melt under different growth environment are simulated by the proposed *** results show that,in the pure heating environment,the fiercer melt flows,the greater the temperature gradient below the crystal growth interface,and the more uneven the temperature distribution on the free surface;crystal rotation and crucible rotation reduce the temperature gradient below the growth interface,and improve the temperature distribution uniformity of the free *** simulation result is consistent with the experiment result,which proves the correctness of the simulation model and the boundary scheme on the free surface.

关键词： Modeling computer simulation crystal growth thermal-flow Lattice Boltzmann Method

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Unified resilience model using deep learning for assessing power system performance

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Heliyon 2025年第4期11卷 e42802页

作者： Artemchuk, Volodymyr Garbuz, Iurii Jamil Alsayaydeh, Jamil Abedalrahim Shkarupylo, Vadym Oliinyk, Andrii Bin Yusof, Mohd Faizal Herawan, Safarudin Gazali Department of Mathematical and Econometric Modelling G.E. Pukhov Institute for Modelling in Energy Engineering of the NAS of Ukraine Kyiv Ukraine Department of Environmental Protection Technologies and Radiation Safety Center for Information-analytical and Technical Support of Nuclear Power Facilities Monitoring of the NAS of Ukraine Kyiv Ukraine Department of Іnformation Systems in Economics Kyiv National Economic University Named After Vadym Hetman Kyiv Ukraine Department of Computerized Control System National Aviation University Kyiv Ukraine Department of Engineering Technology Fakulti Teknologi Dan Kejuruteraan Elektronik Dan Komputer (FTKEK) Universiti Teknikal Malaysia Melaka (UTeM) Melaka 76100 Malaysia Department of Computer Systems Networks and Cybersecurity of the National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine Department of Software Tools Faculty of Computer Science and Technology Zaporizhzhia Polytechnic National University Zaporizhzhia Ukraine Research Section Faculty of Resilience Rabdan Academy Abu Dhabi United Arab Emirates Industrial Engineering Department Faculty of Engineering Bina Nusantara University Jakarta 11480 Indonesia

Energy resilience in renewable energy sources dissemination components such as batteries and inverters is crucial for achieving high operational fidelity. Resilience factors play a vital role in determining the performance of power systems, regardless of their operating environment and interruptions. This article introduces a Unified Resilience Model (URM) using Deep Learning (DL) to enhance power system performance. The proposed model analyzes environmental factors impacting the resilience of batteries and energy storage devices. This deep learning approach trains performance-impacting factors using previously known low resilience drain data. The learning output is utilized to augment various strengthening factors, thereby improving resilience. Drain mitigation and performance improvements are combined for direct impact verification. This process validates the model's fidelity in enhancing power system performance, with a specific focus on the impact of weather factors. © 2025 The Authors

关键词： Deep learning Energy resilience Fidelity Weather impact

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Fault Diagnosis of On-board Equipment in CTCS-3 Based on CNN-LSTM Model

Fault Diagnosis of On-board Equipment in CTCS-3 Based on CNN...

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2022 Chinese Automation Congress, CAC 2022

作者： Zhang, Daqian Cao, Yuan Zhang, Miao Chai, Ming Lv, Jidong Beijing Jiaotong University National Engineering Research Center of Rail Transportation Operation and Control System Beijing China China Academy of Railway Sciences Corporation Limited National Research Center of Railway Intelligence Transportation System Engineering Technology Beijing China

ISBN: (纸本)9781665465335

Data-driven methods based on deep learning have achieved remarkable results of fault diagnosis of train control system due to their superiority in feature extraction. However, it still faces uneven data distribution problem, which afects the detection accuracy of fault diagnosis. In this paper, by considering different failures both in system and subsystem level of train control system, we propose a novel two-stages fault diagnosis method based on a combination of Convolutional Neural Network (CNN) and Long Short-Term Memory Network (LSTM). Firstly, samples are obtained by segmenting and vectorizing the text form faulty data set, and fed into the proposed CNN-LSTM model. Then, in the first stage, the features of the processed data are extracted through the CNN layer, whereas the correlation between the sample data are derived through the LSTM layer. Thus, the classification of first-level faults, respect as system level, are realized with high accuracy of diagnosis. Finally, in the second stage, to solve the problem of data imbalance, we reconsider part of data from the CNN layer, and put them into the new LSTM layer for secondary faults diagnosis. We apply this method on a real CTCS-3 On-board equipment and the experimental results show that the accuracy rate of our proposed model reaches 96.7% and the accuracy of small data faults is also higher when compare with other neural network models,such as TextCNN, ANN, LSTM and RNN. © 2022 IEEE.

关键词： Failure analysis

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Modified multi-scale symbolic dynamic entropy and fuzzy broad learning-based fast fault diagnosis of railway point machines

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Transportation Safety and Environment 2023年第4期5卷 1-7页

作者： Junqi Liu Tao Wen Guo Xie Yuan Cao Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an University of TechnologyXi’an 710048ShaanxiChina School of Electronic and Information Engineering Beijing Jiaotong UniversityBeijing 100044China National Engineering Research Center of Rail Transportation Operation Control System Beijing Jiaotong UniversityBeijing 100044China

Railway point machine(RPM)condition monitoring has attracted engineers’attention for safe train operation and accident *** realize the fast and accurate fault diagnosis of RPMs,this paper proposes a method based on entropy measurement and broad learning system(BLS).Firstly,the modified multi-scale symbolic dynamic entropy(MMSDE)module extracts dynamic characteristics from the collected acoustic signals as entropy ***,the fuzzy BLS takes the above entropy features as input to complete model *** BLS introduces the Takagi-Sug eno fuzzy system into BLS,which improves the model’s classification performance while considering computational *** results indicate that the proposed method significantly reduces the running time while maintaining high accuracy.

关键词： railway point machine(RPM) fault diagnosis modified multi-scale symbolic dynamic entropy(MMSDE) fuzzy board learning system(BLS)

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High-precision measurement of defocus amount for laser welding by analyzing image definition

High-precision measurement of defocus amount for laser weldi...

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International Conference on control, Automation and Robotics (ICCAR)

作者： WenJun Shao Gen Li ShiHua Gong Yu Huang PingJia Jia National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan China

The defocus amount is of great importance to laser welding quality of tight butt joint formed by two sheet metal according to laser welding process. A high-precision measurement system mainly consists of microscopic enlarger lens, CCD camera and LED light source is presented in this article. This measure system which is based on the principle of depth from focus can ensure an accurate defocus amount in tight butt joint welding. The depth position of the weld seam in the optical axis direction is measured by analyzing image definition of the weld seam micrograph. Measurement range and precision of the seam centerline in depth direction are ±0.45mm and ±10μm respectively.

关键词： Welding Optical imaging Optical variables measurement Cameras Robot sensing systems Position measurement Measurement uncertainty

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Analysis on mechanisms and performance of on-line angle correction in LED die sorting

Analysis on mechanisms and performance of on-line angle corr...

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IEEE International Conference on Mechatronics and Automation

作者： Tao Wu Bin Li LongWen Wang Yu Huang National Numerical Control System Engineering Research Center Huazhong University of Science and Technology Wuhan China

All dies are required to keep consistent angles in LED chip sorting. It is a problem because all chips are adhesive to wafer tape, each is rotated, and locations of all other dies change. Usually, visual rectification is used for this. While, each correction needs several adjustments, it may decrease production efficiency greatly. To solve this problem, an on-line angle correction method is put forward. Techniques including fast fitting to rotating center with machine vision, reverse seeking angle offset and translation distance for correction, approach for over-quadrant are discussed in detail. In addition, SPN model of sorting is built to analyze its influence to production rate. With experimental results, it is proved to be effective for angle correction with little loss of sort efficiency even in not too good working conditions.

关键词： Recycling Markov processes Sorting Clocks Fitting Machine vision Production

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