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IEEE International Conference on Mechatronics and Automation

作者： Weimin Ge Jinxiang Li Xiaofeng Wang National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Binshui Xidao 391 Xiqing District Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Binshui Xidao 391 Xiqing District Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

Tensor principal component analysis (TPCA) has been widely used to extract appearance features of colour objects or colour scenes presented in tensor form. Using L 1 -norm as the distance metric, the existing TPCA-L 1 with its greedy (TPCA-L 1 -G) and non-greedy (TPCA-L 1 -NG) algorithms were proposed to reduce the sensitivity to outliers. The two algorithms, however, only derived TPCA solution in a form of two-dimensional matrix without actually extending them to the tensor subspaces and without performing experimental verification for tensor data. Simultaneously, the spatial correlations between pixels of the raw tensor data cannot be effectively preserved. To solve the problems, a robust tensor principal component analysis algorithm based on F-norm distance metric is proposed in this paper, which not only preserves the spatial structure of the raw data, but also reduces the sensitivity to outliers in tensor data. Experiments on reconstruction error and classification rate show that the proposed algorithm is effective and superior to other tensor algorithms in performances.

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Information Reconstruction Error Evaluation Method Based on Singular Entropy Method

Information Reconstruction Error Evaluation Method Based on ...

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China International Electrical and Energy Conference (CIEEC)

作者： Shiming Liu Guochao Zhao Xisong Zhu Yuhao Zhang Xiangning Lin Key Laboratory of System Intelligent Dispatch and Control Shandong University Shandong China State Key Laboratory of Advanced Electromagnetic Engineering and Technology Huazhong University of Science and Technology Hubei China

ISBN: (数字)9781728116754

ISBN: (纸本)9781728116761

Communication failures of digital substations can result in loss of sampled information data. Information reconstruction algorithms are often used to reconstruct missing sample data, which causes errors in the amplitude and phase of the Fourier filter calculation. Studies have shown that the amount and location of sampled data loss has a direct impact on the size of the reconstruction error. Combining the singular value decomposition and information entropy theory, this paper comprehensively considers the influencing factors of reconstruction error, studies the correlation between reconstruction error and sampling data singular entropy, and proposes a reconstruction error estimation method based on singular entropy. This method is used to evaluate the reconstruction errors of three interpolation methods.

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An Incremental Feature Extraction Method for Weld Surface Defect Recognition

An Incremental Feature Extraction Method for Weld Surface De...

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IEEE International Conference on Mechatronics and Automation

作者： Jun Liu Keguang Ren Xiaofeng Wang Weimin Ge National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Binshui Xidao 391 Xiqing District Tianjin China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Binshui Xidao 391 Xiqing District Tianjin China

ISBN: (数字)9781728164168

ISBN: (纸本)9781728164175

To meet the requirements of online feature extraction for weld defect recognition, an Incremental 2DPCA algorithm (I2DPCA) without estimating the covariance matrix of weld surface images is firstly proposed. A set of weld features with multiple orthogonal principal components can be obtained by a recursive estimation method, instead of the eigenvalue decomposition method or the singular value decomposition method. The computational complexity will be greatly reduced and the online feature extraction speed will be improved. To extract more structure features and reduce the dimension of weld images, an Incremental row-column Bidirectional PCA (IBDPCA) algorithm is presented based on I2DPCA, which preserves the weld features in the horizontal and vertical directions of weld images, and realizes the incremental feature extraction and data dimensionality reduction in the row and column directions. Finally, a series of comparative experiments are performed on the collected weld defect dataset. The results show that the proposed algorithm is superior to other PCA algorithms in convergence rate, classification rate, and complexity. The convergence rate is more than 99%, the classification rate can reach 96%, which can meet the online feature extraction requirements for weld defect recognition.

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Design of intelligent Drilling system Software Framework and Data Architecture Based on MVC Pattern

Design of Intelligent Drilling System Software Framework and...

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第三十八届中国控制会议

作者： Peilun Ouyang Weihua Cao Min Wu Chao Gan Fawen Wang School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Hubei Institute of Urban Geological Engineering

Drilling system software is crucial for the complex geological drilling process due to its vital role in improving the drilling efficiency and safety. In this paper, a Model-View-controller(MVC) pattern-based software framework and data architecture of an intelligent drilling system are proposed. First, four main functional requirements, namely, data fusion and visualization, safety assessment and efficiency calculation, efficiency and safety optimization, and coordination control have been analyzed. After that, a four-layers is established based on the above analysis and MVC pattern. Finally, a new online data architecture has been presented at the end of this paper. The proposed software framework and data architecture form a basis for the monitoring of the drilling process.

关键词： Model-View-controller intelligent Drilling Software Framework Data Architecture

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Selection of fundamental period components of vibration modeling for non-faulty planetary gearboxes

Selection of fundamental period components of vibration mode...

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Prognostics and system Health Management Conference (PHM-Qingdao)

作者： Xinguang Ma Li Zhan Jie Liu Lin Zhang Jun Liu Mian Zhang Nuclear Power Institute of China Chengdu China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechanical System Tianjin University of Technology China

Planetary gearboxes are `hearts' of transmission train among heavy industrials. The health condition of planetary gearboxes is the key to maintain reliable operation of industrial and promote harmonious social development. Frequency spectrum analysis of vibration measurements is a popular way for condition assessing. As prior guidance for spectrum analyzing, phenomenological modeling emerges as a simple and effective mathematical description of the vibration measurements referring to the sensor. A reasonable model of a non-faulty planetary gearbox is the essential work, either in understanding the motion behavior, or in condition monitoring and even for fault diagnosis. In this paper, traditional models are reexamined and investigated: we found the contradicting results from two classical references on the selection of fundamental period components when constructing models. The rationality of the traditional models is mathematically and experimentally studied, the more reasonable one is indicated.

关键词： Vibrations Fault diagnosis Analytical models Vibration measurement Frequency measurement Mathematical model Spectral analysis

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Load curve modeling based on behavior analysis of distributed power customers 4

Load curve modeling based on behavior analysis of distribute...

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2019 4th Asia Conference on Power and Electrical Engineering, ACPEE 2019

作者： Han, Xinyang Zhang, Yu Jiao, Yuqiao Zhang, Yue Qu, Yanjing Ding, Min State Grid Energy Research Institute Beijing102200 China School of Automation China University of Geosciences Wuhan430074 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex System Wuhan430074 China State Grid Shanghai Municipal Electric Power Company Shanghai200122 China

As renewable power generation directly affects the customers' traditional electricity behavior and then offsets the power load, this paper proposes a load curve modeling method for renewable power customers based on the behavior analysis. Firstly, customers' active behavior is represented by the quantity of active customer households. Based on the analysis of customer behaviors, a modeling method for the quantity of active customer households is proposed based on Markov Chain Monte Carlo method. Then, with the inputs as the quantity of active customer households and time of photovoltaic power generation, an inference model based on fuzzy logic is proposed to get the quantity of customer household starting electrical appliances. By combing the average usage time of electrical appliances, load characteristics are analyzed based on usage state of electrical appliance of distributed power customers. Finally, the simulation results verify the effectiveness of the proposed method. © Published under licence by IOP Publishing Ltd.

关键词： Fuzzy logic

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Nonlinear Behavior of Surface Charge Density and Zeta Potential in Microchannel Electrokinetic Flow

SSRN

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SSRN 2023年

作者： Chen, Daming Arancibia-Miranda, Nicolas Escudey, Mauricio Fu, Jiao Lu, Qin Amon, Cristina H. Galatro, Daniela Guzmán, Amador M. Facultad de Ingeniería Departamento de Ingeniería Mecánica Universidad de Santiago de Chile Av. B. O’Higgins 3363 Santiago9170020 Chile Center for the Development of Nanoscience and Nanotechnology CEDENNA Santiago9170124 Chile Facultad de Química y Biología Universidad de Santiago de Chile Av. B. O’Higgins Santiago3363 Chile Xi'an key laboratory of advanced control and intelligent process Xi'an University of Posts and Telecommunications Xi'An710121 China Solar and Thermal Energy Conversion and Storage Device and System Laboratory STECTEC Santiago Chile Escuela de Ingenieria Industrial Facultad de Ingenieria y Ciencias Universidad Diego Portales Ejercito 441 Santiago Chile Department of Mechanical and Industrial Engineering Faculty of Applied Science and Engineering University of Toronto 5 King’s College Road TorontoON Canada Department of Chemical Engineering and Applied Chemistry Faculty of Applied Science and Engineering University of Toronto 200 College Street TorontoON Canada

In this work, a combined numerical and experimental investigation of the surface charge density and zeta potential behavior is investigated for borosilicate immersed in KCl and NaCl electrolytes and for imogolite immersed in KCl, CaCl2, and MgCl2 electrolytes. Simulations and experiments of the electrokinetic flows with electrolyte solutions were performed to accurately determine the electric double layer (EDL), the zeta potential, and the surface charge density at various electrolyte concentrations and pH. The zeta potential was experimentally determined and numerically predicted by solving the coupled governing equations of mass, species, momentum, and electrical field iteratively. The zeta potential for borosilicate develops strong nonlinear behavior with the ion concentration following a power-law. Likewise, the surface charge density obeys a nonlinear behavior, decreasing as the concentration increases. Moreover, for imogolite, both the zeta potential and the surface charge density behave nonlinearly with the pH. The EDL for borosilicate and imogolite becomes thinner as the electrolyte concentration and pH increase;this behavior is caused by increased surface charge density, resulting in the higher attraction of the free charges. The reported nonlinear behavior describes more accurately the interaction of the nanoparticle surface charge with the electrolytes and its effect on the electrolyte transport properties. © 2023, The Authors. All rights reserved.

关键词： Zeta potential

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Seebeck and Nernst effects in topological insulator: The case of strained HgTe

arXiv

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arXiv 2021年

作者： Peña, Francisco J. Negrete, Oscar Ma, Ning Vargas, Patricio Reis, Mario Lima, Leandro R.F. Departamento de Física Universidad Técnica Federico Santa María Casilla Valparaíso110-V2390123 Chile Centro para el Desarrollo de la Nanociencia y la Nanotecnología Santiago8320000 Chile Department of Physics College of Physics and Optoelectronic Engineering MOE Key Laboratory of Advanced Transducers Intelligent Control System Taiyuan University of Technology Taiyuan030024 China Institute of Physics Fluminense Federal University Av. Gal. Milton Tavares de Souza s/n Niteroi-RJ24210-346 Brazil Departamento de Física Instituto de Ciências Exatas Universidade Federal Rural do Rio de Janeiro Seropédica - RJ23897-000 Brazil

We theoretically study the thermoelectric transport properties of strained HgTe in the topological insulator phase. We developed a model for the system using a Dirac Hamiltonian including the effect of strain induced by the interface between HgTe and the CdTe substrate. The conductivity tensor was explored assuming the electrons are scattered by charge impurities, while the thermopower tensor was addressed using the Mott relation. Seebeck and Nernst responses exhibit remarkable enhancements in comparison with other two-dimensional Dirac materials, such as graphene, germanane, prosphorene and stanene. The intensity of these termoeletric responses, their dependencies with the external perpendicular magnetic field and temperature are also addressed. Copyright © 2021, The Authors. All rights reserved.

关键词： Cadmium telluride

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Performance Improvement of Raman Distributed Temperature system by Using Noise Suppression

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Photonic Sensors 2018年第2期8卷 103-113页

作者： Jian LI Yunting LI Mingjiang ZHANG Yi LIU Jianzhong ZHANG Baoqiang YAN Dong WANG Baoquan JIN Key Laboratory of Advanced Transducers and Intelligent Control System of Ministry of Education Taiyuan University of Technology Taiyuan 030024 China College of Physics and Optoelectronics Institute of Optoelectronic Engineering Taiyuan University of Technology Taiyuan 030024 China

In Raman distributed temperature system, the key factor for performance improvement is noise suppression, which seriously affects the sensing distance and temperature accuracy. Therefore, we propose and experimentally demonstrate dynamic noise difference algorithm and wavelet transform modulus maximum （WTMM） to de-noising Raman anti-Stokes signal. Experimental results show that the sensing distance can increase from 3 kin to 11.5 km and the temperature accuracy increases to 1.58 ℃ at the sensing distance of 10.4kin.

关键词： Optical fiber sensors Raman scattering noise suppression wavelet transform modulus maximum

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Manipulator of robust fuzzy adaptive compensation control 3

Manipulator of robust fuzzy adaptive compensation control

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3rd Asia-Pacific Conference on intelligent Robot systems, ACIRS 2018

作者： Yangjian, Wang Xiaofei, Chen Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineeringline Binshui Xidao 391 Tianjin China

ISBN: (纸本)9781538672266

Dynamics system for reconfigurable manipulator of uncertainty, based on the fuzzy adaptive algorithm is proposed to approach the system control law from adaptation to friction and external disturbance, the compensation control of the reconfigurable robot arm. At the same time in order to improve the control law of compensation precision and anti-interference performance, reduce the approximation error of the algorithm and the robust items added in the control law. By Lyapunov stability theory proves that the proposed fuzzy adaptive robust fuzzy control law and the adaptive control law can be in reconfigurable manipulator dynamics contained in friction and the external disturbance to ensure the stability of the system. Last three do f reconfigurable robot arm as an example to design a reconfigurable robotic arm controller, the simulation results show that the algorithm has good trajectory tracking performance, and proves the feasibility and effectiveness of the algorithm. © 2018 IEEE.

关键词： Friction

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