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15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Shen, Yaohua Ge, Weimin Wang, Xiaofeng School of Mechanical Engineering Tianjin University of Technology China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechanical System Binshui Xidao 391 Xiqing District Tianjin300384 China

ISBN: (纸本)9781538660720

Aiming at the requirements of the real-time detection of weld defects in the industry, the candid covariance-free incremental PCA (CCIPCA) algorithm was introduced into the Two-Dimensional Principal Component Analysis (2PCA) algorithm, therefore an incremental 2DPCA algorithm (I2DPCA) is proposed. Firstly, the images captured by camera are preprocessed to improve the quality of the images because the captured images might be affected in the process of image acquisition. Then the I2DPCA algorithm is used to achieve feature extraction, and the dimension of the images is reduced. Finally, the recognition of weld defects is implemented using the k-nearest neighbor algorithm (KNN). Compared with the methods of traditional recognition by extracting the sizes of several geometric defects, the proposed algorithm has the advantage of the small memory spaces, the high recognition rate and the strong real-time recognition. The experimental results show that the proposed algorithm has higher recognition rate and is more practical than the 2DPCA, and the recognition rate reaches 94%, which can meet the requirements of the real-time detection. © 2018 IEEE.

关键词： Principal component analysis

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Research on Feedforward Control Based on Robot Dynamics Parameters Identification 17

Research on Feedforward Control Based on Robot Dynamics Para...

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17th IEEE International Conference on Mechatronics and Automation, ICMA 2020

作者： Shao, Xingmao Wang, Shoujun Yang, Liusong Liu, Nan Tianjin University of Technology Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin300384 China Citic Heavy Industries Company Ltd. Luoyang471003 China

ISBN: (纸本)9781728164151

Accurate robot dynamics model can effectively improve the motion control performance of robot, and accurate dynamics parameters are the basis for establishing dynamics model. This paper discusses the parameter identification method of the tandem manipulator and the feedforward control scheme based on dynamics. First, we deduced the basic parameters of the first three joints of the UR5 manipulator, and identified the parameters through experimental sampling and calculation. Secondly, we established a feedforward control mechanism based on dynamics using the Simulink platform, and simulated and verified the feedforward control of the robot three-axis system. The experimental results show that the feedforward control scheme based on robot dynamics can effectively improve the error convergence performance, which proves the effectiveness of the method. © 2020 IEEE.

关键词： Manipulators

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Disease Phenotype Classification Model Based on Multi-channel Deep Supervised Bi-LSTM

Disease Phenotype Classification Model Based on Multi-channe...

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International Conference on Computer Engineering and Applications (ICCEA)

作者： Decong Wang Changyuan Zou Ziqi Wei Zhaoqian Zhong Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China CAS Key Laboratory of Molecular Imaging Institute of Automation Beijing China

ISBN: (数字)9798350386776

ISBN: (纸本)9798350386783

Phenotypic classification of diseases refers to the process of categorizing diseases into different classes based on their manifestations or characteristics, aiding doctors in diagnosing diseases and developing treatment plans. Current classification methods are challenged by issues such as strong subjectivity, high instability, and low data utilization. To conduct phenotypic classification of diseases more effectively, this paper proposed a disease phenotypic classification model based on multi-channel deep supervised Bi-LSTM. The proposed model integrates structured and unstructured data for classification, uses the multi-channel module to integrate temporal information from multi-variable time sequence data, and utilizes Bi-LSTM module to capture long-term dependencies in single-channel sequence data. Additionally, a deep supervision module is used to accelerate model convergence and improve generalization capability. The experimental results on the MIMIC-III dataset indicate that the proposed model achieves higher classification accuracy compared to various baseline models, with a smaller parameter size and shorter training time, thereby demonstrating the effectiveness of the method presented in this paper.

关键词： Training Phenotypes Runtime Computational modeling MIMICs Data models Computational efficiency

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Adaptive facial expression recognition based on a weighted component and global features

Adaptive facial expression recognition based on a weighted c...

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4th International Conference on Digital Home, ICDH 2012

作者： Li, Rui Hu, Min Wang, XiaoHua Xu, Liangfeng Huang, Zhong Chen, Xing AnHui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine School of Computer and Information Hefei University of Technology Hefei China School of Computer and Information Hefei University of Technology Hefei China

ISBN: (纸本)9781467313483

An adaptive facial expression recognition method based on component and global features is presented in this paper. The facial component features are highlighted for purpose of improving facial expression percent correct rate. Firstly, eyebrows, eyes, nose and mouth are divided from a facial expression image and then the component features would be gotten from these organ images which are processed by Gabor wavelets. The weighted adaptive algorithm would be used to calculate the component feature weights, the weighted component features fuse with the global feature to get a feature fusion matrix. Finally, Weighted Principal Component Analysis (WPCA) and Fisher Linear Discriminant (FLD) methods are used to reduce dimensions and classify facial expression. Experimental results show that the algorithm proposed in this paper has much more accurate recognition rate compared with the global Gabor wavelets, PCA and FLD integrated algorithm. © 2012 IEEE.

关键词： Adaptive algorithms

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Study on vibration and crack propagation control of cracked asymmetric rotor based on three-dimensional finite element model 15

Study on vibration and crack propagation control of cracked ...

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15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Hu, Rong Liu, Jun Chen, Jianen Wang, Xiaofeng Ge, Weimin School of Mechanical Engineering Tianjin University of Technology China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechanical System Binshui Xidao 391 Xiqing District Tianjin300384 China

ISBN: (纸本)9781538660720

In order to solve the vibration problems of a cracked asymmetric rotor, the three-dimensional finite element model of the rotor is established combined with a nonlinear contact approach. The free interface modal synthesis method is applied to shorten the computation time by reducing the order of the model. The vibration characteristics of the asymmetric rotor and the cracked asymmetric rotor in different crack locations are analyzed by the simulation. The results of numerical simulation show the appearance of crack will affect the resonance frequency and the range of unstable area on the major critical speed. At the same time, the active control of the rotor is realized by the electromagnetic actuator controlled by neural network PID. Secondly, based on the theory of rotor dynamics, the effects of rotational speed and unbalance on the breathing behavior of the cracked rotor are discussed. In this paper, it proposes a novel method delaying the crack extension effectively. In the process of operation, the electromagnetic actuator (EMA) can effectively control the vibration and can delay the crack propagation. © 2018 IEEE.

关键词： Computation theory

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Numerical Simulation and Analysis of HLTZ60-LJ-233 Water Turbine Transformation 2

Numerical Simulation and Analysis of HLTZ60-LJ-233 Water Tur...

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2nd International Conference on Computational Modeling, Simulation and Data Analysis, CMSDA 2022

作者： Zhang, Meiping Wang, Shoujun Zhou, Xuejun Tianjin University of Technology Tianjin Key Laboratory of Advanced Electromechanical System Design and Intelligent Control Tianjin300384 China Tianjin Sino-German University of Applied Technology Tianjin300350 China

ISBN: (纸本)9798350345759

In order to study the internal flow state of the mixed-flow turbine, this paper takes the modified HLTZ60-LJ-233 model turbine as the research object, combines with the modeling software UG, uses the grid division software ICEM, and then imports the flow field analysis software Fluent, and the turbine full-flow flow field analysis based on the k-ω turbulence model. © 2022 IEEE.

关键词： Turbulence models

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Structure design and analysis of reconfigurable fixture robot based on the auto-body panels 15

Structure design and analysis of reconfigurable fixture robo...

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15th IEEE International Conference on Mechatronics and Automation, ICMA 2018

作者： Li, Jilong Liu, Jun Wang, Xiaofeng Ge, Weimin School of Mechanical Engineering Tianjin University of Technology China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Binshui Xidao 391 Xiqing District Tianjin300384 China

ISBN: (纸本)9781538660720

The fixture is an important equipment, and is widely used in the auto-body panels to be assembled and welded. However, most fixtures, which installed on the production lines, are special to make the production cost higher and the production efficiency lower. Therefore, the reconfigurability of the fixture becomes a key factor that effects the production efficiency of automobiles. To handle the above problems, the new reconfigurable fixture robot is proposed in this paper, which can meet the handing, assembling and welding requirements of different automobile's sheet parts on the automobile production lines. First, the three-dimensional model and the kinematic equations of the proposed reconfigurable fixture robot are established. Then, the working space of the reconfigurable fixture robot is also obtained. Finally, the modal analysis of the reconfigurable fixture robot is performed to determine the cause of resonances. Reconfigurable fixture robots are capable of gripping the auto-body panels with the different radii of curvature, which can also meet the work scopes on the production lines. © 2018 IEEE.

关键词： Production efficiency

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An Approach for Predicting and Compensating the End Deformation of a Heavy Load Robot for Friction Stir Welding 16th

An Approach for Predicting and Compensating the End Deformat...

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16th International Federation of Theory of Machines and Mechanisms World Congress, IFToMM WC 2023

作者： Bai, Yujie Liu, Haitao Meng, Shaofei Ma, Yue Yue, Wei Li, Guangxi Xiao, Juliang Wang, Guofeng Ding, Yabin Key Laboratory of Mechanism Theory and Equipment Design of State Ministry of Education Tianjin University Tianjin300072 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Dongguan University of Technology Dongguan523808 China

ISBN: (纸本)9783031457043

Aiming at solving the problem of insufficient plunge depth by the deformation of friction stir welding robots, this paper presents a method for predicting and compensating for the end deformation of friction stir welding robots. Firstly, the numerical model of FSW is established using DEFORM-3D software, then the axial force on the welding tool is obtained. Subsequently, the robot stiffness model is established based on the screw theory to realize the prediction of robot deformation in the workspace. Finally, a deformation compensation method based on the mirror principle is proposed to realize the compensation of the welding trajectory. Taking the 10 mm AA6061 aluminium alloy FSW as an example, the compensation method proposed in this paper is verified by using computer simulation. The results show that the stiffness model established in this paper can accurately predict the end deformation of the robot. The maximum plunge depth deviation of the compensation method proposed in this paper is reduced by 95.17% compared with the uncompensated case, which proves the effectiveness of the proposed compensation method. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Friction stir welding

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Hydrodynamics of heterogeneous particle swarms in gas-liquid-solid stirred tanks with free surface studied by DEM-VOF

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Powder Technology 2025年 462卷

作者： E, Dianyu Wen, Yingming Wu, Yiliu Li, Jing Sun, Weifu Liu, Yonggang Chen, Chao Cui, Jiaxin Qiu, Yinxuan Jiangxi Provincial Key Laboratory of Particle Technology Jiangxi University of Science and Technology Nanchang330013 China Research Centre for Intelligent Mineral Processing & Metallurgy International Institute for Innovation Jiangxi University of Science and Technology Nanchang330013 China ARC Research Hub for Smart Process Design and Control Department of Chemical and Biological Engineering Monash University VIC3800 Australia School of Civil Engineering Southeast University Nanjing211189 China Advanced Technology Research Institute Beijing Institute of Technology Jinan250307 China Faculty of Materials Metallurgy and Chemistry Jiangxi University of Science and Technology Ganzhou341000 China Xinyu Iron and Steel Group Co. Ltd Xinyu338001 China College of Materials Science and Engineering Taiyuan University of Technology Taiyuan030024 China School of Chemical Engineering The University of Queensland QLD4072 Australia

Stirred tanks play a pivotal role in material blending, yet there is still a lack of data on inner complex blending mechanism, especially involving heterogeneous particle swarm with different shape combinations. This study extensively develops the DEM-VOF model, in which different drag force models are applied based on the identification of particle shapes. It aims to provide an insight into the blending system dynamics of heterogeneous particle swarms through seven arranged particle schemes building upon three different shapes. The results show that the oblate-prolate ellipsoid particle scheme has the optimal suspension performance, but demonstrates high power consumption. The addition of spherical particles into the oblate-prolate ellipsoid particle scheme has significant effect on particle suspension, fluid flow and the evolution of free surface, while contributes to a reduction in power consumption. This study presents an analysis of the hydrodynamics and optimization of blending systems involving heterogeneous particle swarms in stirred tanks. © 2025 Elsevier B.V.

关键词： Flow of gases

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N-dimensional matrices operation based on DNA strand displacement

N-dimensional matrices operation based on DNA strand displac...

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International Workshop on advanced Computational Intelligence (IWACI)

作者： Liu Yang Changjun Zhou Hui Lv Qiang Zhang Ministry of Education Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Dalian China Dalian University of Technology Dalian China

In the field of biological computing, the DNA strand displacement technique performs well in computation and programming. DNA strand displacement can be used to simulate calculations. Models based on the characteristics of DNA strand displacement are established to simulate n-dimensional matrices operations in this paper. The input and output of these computational models are analog, which means that the values of the individual elements in the n-dimensional matrices can be expressed directly by the concentration of the input and output DNA strands. Simulation experiment is performed by Visual DSD, and their results with high accuracy are consistent to the results of matrices operations in higher algebra, which prove correctness and validity of the models. The proposed models show calculation ability of DNA strand displacement and can be applied to the field of intelligent computing.

关键词： Handheld computers Computational intelligence

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