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2023 China Automation Congress, CAC 2023

作者： Wu, Yining Zhang, Runfeng Liu, Fang Liu, Zhenzhong Wu, Jianguo Dong, Haonan School of Mechanical Engineering Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control Tianjin University of Technology Tianjin300384 China Tianjin University of Technology National Demonstration Center for Experimental Mechanical and Electrical Engineering Education China Yichang Research Institute of Testing Technology Yichang443003 China Tianjin Hanhailanfan Marine Technology Co. Ltd. Tianjin300457 China School of Computer Science and Engineering Tianjin University of Technology Tianjin300384 China

ISBN: (纸本)9798350303759

Waves seriously impact port construction, worldwide route planning, military activities, and wave power generation. To improve the accuracy of significant wave height prediction, we proposed a novel prediction method, a multi-layer perceptron combined with a backpropagation adjustment (MLP-BP) prediction model that combines mutation mode decomposition (VMD) and a simulated annealing optimization algorithm (SA). Firstly, we use the variable modulus method to decompose the significant wave height sequence data and transform the wave height sequence into multiple different sub-modes (IMF) to reduce the complexity and non-stationarity of the data. Secondly, the simulated annealing algorithm (SA) is used to optimize the weight and bias of the MLP-BP neural network to find the optimal parameter configuration and improve the performance and generalization ability of the prediction model. Finally, the decomposed sub-modal components of each significant wave height sequence are inserted into the MLP-BP neural network and the predicted values of each element are summed to obtain the final significant wave height prediction. The prediction results of the SSA-MLP-BP, PSO-MLP-BP, SA-MLP-BP, and VMD-SA-MLP-BP were compared and demonstrated that the VMD-SA-MLP-BP model performed best. The MAE, MAPE, MSE, RMSE, and R2 of the prediction evaluation indexes were 0.036 m, 11.7%, 0.004 m2, 0.067 m, and 0.983, respectively, which performed well in predicting significant wave height. © 2023 IEEE.

关键词： Variational mode decomposition

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design of Digital Twin Circuit Principle Experiment system Based on NCSLab

Design of Digital Twin Circuit Principle Experiment System B...

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第42届中国控制会议

作者： Yu-Zhong Li Guo-Ping Liu Yi Yu School of Computer Science and Engineering Huizhou University School of System Design and Intelligence Manufacture Southern University of Science and Technology

This paper is concerned with the requirements of current distance learning of circuit principle experiment of automation specialty,automatic fault detection of experimental equipment,automatic fault isolation,uninterrupted experiment in case of fault,and maintaining the number of available ***,based on the networked control system laboratory(NCSLab) architecture,digital twin,remote control technology and circuit design,aiming at the circuit experiment principle course,the digital twin are realized by Simulink,and a digital twin circuit principle experiment system(DT-CPES) is designed and *** designed system shows that the system can realize the sharing of experimental equipment,the digital twin can predict,and can also verify with the actual measurement data of the circuit *** the digital twin fault isolation controller(DT-FIC),the fault diagnosis,fault isolation and replacement output of the experimental equipment can be ***,the developed system reduces the overall risk and cost of installation and maintenance of large-scale circuit experiments,and provides fault-tolerant redundancy for the experimental system with low computational burden and high reliability.

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Enhancing Mechanical Properties and Microstructure Evolution of Hybrid Az61-5sic-0.5cnts Composite During Equal Channel Angular Pressing

SSRN

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SSRN 2024年

作者： Zhou, Mingyang Zhao, Yanli Sun, Dan Long, Ziyao Gen, Laiyao Fan, Lingling Gao, Shixin Xin, Yong Quan, Gaofeng Gupta, Manoj Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610213 China School of Mechanical Engineering Chengdu University Chengdu Sichuan610106 China School of Materials Science and Engineering Southwest Jiaotong University Chengdu610031 China 9 Engineering Drive 1 Singapore117576 Singapore

Equal channel angular pressing (ECAP) is one of widely used severe plastic deformation methods for improving performance of metallic materials. In this work, the effects of the ECAP on the microstructural evolution and mechanical properties of the AZ61-5SiC-0.5CNTs composite were studied systematically. The results revealed that ECAP can effectively reduce the porosity of the AZ61-5SiC-0.5CNTs composite, refine grains, weaken basal texture, and promote the further dispersion of CNTs, which can optimize the microstructure of the composite. However, the large shear effect of ECAP also leads to the destruction of the structural integrity of the CNTs and thus reduces the strengthening effect. Due to the combined effects of grain refinement, porosity changes, texture evolution, and structural damage of CNTs, the composites reached the highest strength after 2 ECAP passes at 250 °C. The yield and tensile strengths were increased to 383 MPa (+11.0%) and 445 MPa (+8.0%), respectively, while the elongation was marginally reduced, but remained around 6%. © 2024, The Authors. All rights reserved.

关键词： Equal channel angular pressing

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Fault Diagnosis of Aero-Engine Bearings in Comprehensive Noise Environments Based on Multi-Scale Convolution Networks

Fault Diagnosis of Aero-Engine Bearings in Comprehensive Noi...

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International Symposium on system and Software Reliability (ISSSR)

作者： HongBo Ran JianXin Zhang JinHua Mi School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Department of SRM Design Shanghai Space Propulsion Technology Research Institute Shanghai China Center for System Reliability and Safety University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798331501242

ISBN: (纸本)9798331501259

For aero-engines operating in harsh environments, the presence of substantial noise poses challenges to effective fault diagnosis, a multi-scale attention residual network (MCRN) is proposed. Firstly, time-frequency images are obtained by short-time Fourier transform of the raw vibration signals. Secondly, multi-scale convolution is applied to feature extraction from the time-frequency images, and channel attention mechanism is employed to suppress irrelevant channels. Simultaneously, a spatial attention mechanism is employed to filter out useless spatial features. While considering the presence of noise interference, the concept of noise as an interval is proposed and injected into the signal. Lastly, the requirement of certain prior knowledge for interval noise determination is acknowledged, and an approach considering comprehensive noise injection is proposed. Through a series of comparative experiments, it is found that the MCRN proposed in this study can maintain a high accuracy rate and high robustness, which makes it suitable for applications in actual complex working conditions.

关键词： Fault diagnosis Time-frequency analysis Attention mechanisms Convolution Noise Feature extraction Robustness Aircraft propulsion Engines Residual neural networks

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Firefly Optimized Neuro-Dynamic Programming for Optimal Tracking Control of Multi-Player Nonlinear systems

Firefly Optimized Neuro-Dynamic Programming for Optimal Trac...

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第42届中国控制会议

作者： Qiuye Wu Bo Zhao Derong Liu School of Automation Guangdong University of Technology School of Systems Science Beijing Normal University School of System Design and Intelligent Manufacturing Southern University of Science and Technology

This paper develops a novel optimal tracking control(OTC) approach via firefly optimized neuro-dynamic programming for multi-player nonlinear *** constructing an augmented system composed of the tracking error and the reference trajectory,the OTC problem is transformed into an optimal regulation *** obtain the OTC policy of each player,the solution of the coupled Hamilton-Jacobi equation is approximated by a critic neural network,whose weight vector is tuned by the firefly algorithm instead of the gradient descent algorithm to avoid the difficulty in manually selecting the initial weight *** to the Lyapunov's direct method,the tracking error of the closed-loop system is ensured to be uniformly ultimately *** effectiveness of the developed approach is demonstrated by numerical simulation.

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Fault Diagnosis of Mechanical Transmission Components with Siam-GNN Under Few-Shot Noisy Conditions

Fault Diagnosis of Mechanical Transmission Components with S...

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International Symposium on system and Software Reliability (ISSSR)

作者： Zhiguo Wang Shengjie Yin Jinhua Mi School of Automation Engineering University of Electronic Science and Technology of China Chengdu China Department of SRM Design Shanghai Space Propulsion Technology Research Institute Shanghai China Center for System Reliability and Safety University of Electronic Science and Technology of China Chengdu China

ISBN: (数字)9798331501242

ISBN: (纸本)9798331501259

Fault diagnosis of mechanical transmission components is challenged by limited fault samples and noise interference. Deep learning methods often overlook the implicit topological relationships between samples. Graph neural networks (GNNs) efficiently aggregate feature information of neighboring nodes based on the dependencies and topological relationships among samples, demonstrating strong reasoning capabilities. However, determining node adjacency via K-nearest neighbor (KNN) in traditional GNNs can lead to node misconnections under few-shot conditions with noise interference, resulting in erroneous feature aggregation. Therefore, this paper proposes an inductive fault diagnosis method based on a Siamese Graph neural network (Siam-GNN). Firstly, this paper introduces the Siamese network to determine node adjacency relationships innovatively, optimizing the quality of association graph by increasing distances between nodes of the same category and decreasing distances between nodes of different categories. Subsequently, the classic contrastive loss function is improved to enhance the robustness under noisy conditions. Finally, ablation and comparative experiments are conducted on rolling bearings and planetary gearboxes based on the proposed fault diagnosis method, demonstrating the proposed method's stronger robustness, higher diagnostic accuracy and good generalization performance across both types of transmission components.

关键词： Fault diagnosis Accuracy Noise Rolling bearings Interference Nearest neighbor methods Graph neural networks Robustness Noise measurement Security

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Mechanically Stable and Damage Resistant Freestanding Ultrathin Silver Nanowire Films with Closely Packed Crossed-Lamellar Structure

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Precision Chemistry 2024年第12期2卷 634-643页

作者： Si-Chao Zhang Huai-Ling Ga Long Zhang Yin-Bo Zhu Ya-Dong Wu Jian-Wei Liu Li-Bo Mao Mei Feng Liang Dong Zhao Pan Xiang-Sen Meng Yang Lu Shu-Hong Yu Department of Chemistry New Cornerstone Science LaboratoryInstitute of Biomimetic Materials&ChemistryAnhui Engineering Laboratory of Biomimetic MaterialsDivision of Nanomaterials&ChemistryHefei National Research Center for Physical Sciences at the MicroscaleUniversity of Science and Technology of ChinaHefei 230026China CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern MechanicsCAS Center for Excellence in Complex System MechanicsUniversity of Science and Technology of ChinaHefei 230027China Anhui Key Laboratory of Controllable Chemical Reaction and Material Chemical Engineering School of Chemistry and Chemical EngineeringHefei University of TechnologyHefeiAnhui 230009P.R.China Institute of Innovative Materials(I2M) Department of ChemistryDepartment of Materials Science and EngineeringSouthern University of Science and TechnologyShenzhen 518055China

One-dimensional(1D)functional nanowires are widely used as nanoscale building blocks for assembling advanced nanodevices due to their unique ***,previous research has mainly focused on nanowire functionality,while neglecting the structural stability and damage resistance of nanowire assemblies,which are critical for the long-term operation of *** achieve excellent mechanical stability and damage resistance through sophisticated structural ***,we successfully prepared a mechanically stabilized monolamella silver nanowire(Ag NW)film,based on a facile bubblemediated assembly and nondestructive transfer strategy with the assistance of a porous mixed cellulose ester substrate,inspired by the hierarchical structure of *** to the closely packed arrangement of Ag NWs combined with their weak interfaces,the monolamellar Ag NW film can be transferred to arbitrary substrates without ***,freestanding multilamellar Ag NW films with impressive damage resistance can be obtained from the monolamellar Ag NW film,through the introduction of bioinspired closely packed crossed-lamellar(CPCL)*** CPCL structure maximizes intra-and interlamellar interactions among Ag NWs ensuring efficient stress transfer and uniform electron transport,resulting in excellent mechanical durability and stable electrical properties of the multilamellar Ag NW films.

关键词： Biomimetics hierarchical structure structural stability damage resistance functional nanowire assemblies

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A Comparative Study of Vibration Damping Based on Wave Model—Decoupling Reflected Waves from Traveling Waves

A Comparative Study of Vibration Damping Based on Wave Model...

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International Conference on Electrical Machines and systems (ICEMS)

作者： Kosuke Shikata Krzysztof Szabat Seiichiro Katsura Department of System Design Engineering Keio University Yokohama Japan Faculty of Electrical Engineering Wroclaw University of Science and Technology Wroclaw Poland

ISBN: (数字)9784886864406

ISBN: (纸本)9798350379105

Vibration or ripple reduction is a common topic in motion control, electrical systems, and motor drives. Although wave model-based vibration suppression is novel, the control structures must be systematized. Thus, this study addresses the comparative analysis of control structures derived from the wave model. The primary contribution is to discuss the similarities and differences between an integral-proportional controller and a proportional controller with a disturbance observer through analyses of their transfer function and experimental verification.

关键词： Vibrations Damping Motor drives Analytical models Torque Transfer functions Disturbance observers IP networks Motion control Electromagnetics

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Study on flow modes of open natural circulation with low height difference under low power conditions

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International Journal of Advanced Nuclear reactor design and technology 2020年 2卷 10-14页

作者： Yi, Li Jianchuang, Sun Hang, Peng Cheng, Xiang Quan, Biao Cao, Xiaxin Jian, Zhou Ming, Ding Science and Technology on Reactor System Design Technology Laboratory Nuclear Power Institute of China Chengdu610041 China Fundamental Science on Nuclear Safety and Simulation Technology Laboratory Harbin Engineering University Harbin150001 China

Open natural circulation systems are widely applied in the field of energy and chemical industries. Under some special conditions, open natural circulation systems with low height difference need to be applied, but research on this type of systems is not sufficient. In this paper, the flow modes of sucha natural circulation system were experimentally studied at low power level by adopting steam heating. In addition, the flow modes and physical phenomena of the natural circulation system were analyzed in detail under different heating power conditions. It is found that there are four flow modes at different power levels in the natural circulation system due to the influence of non-condensable gas and subcooled boiling. The inlet and outlet temperatures of heating section are analyzed in different flow modes. The result shows that the outlet temperature of heating section can be used as a judgment criterion for different flow modes. © 2019

关键词： Chemical industry

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SEETHRUFINGER: SEE AND GRASP ANYTHING WITH A MULTI-MODAL SOFT TOUCH

arXiv

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arXiv 2023年

作者： Wan, Fang Wang, Zheng Zhang, Wei Song, Chaoyang School of Design Southern University of Science and Technology Shenzhen518055 China Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen518055 China School of System Design and Intelligent Manufacturing Southern University of Science and Technology Shenzhen518055 China Design and Learning Research Group Southern University of Science and Technology Shenzhen518055 China

We present SeeThruFinger, a Vision-Based Tactile Sensing (VBTS) architecture using a markerless See-Thru-Network. It achieves simultaneous visual perception and tactile sensing while providing omni-directional, adaptive grasping for manipulation. Multi-modal perception of intrinsic and extrinsic interactions is critical in building intelligent robots that learn. Instead of adding various sensors for different modalities, a preferred solution is to integrate them into one elegant and coherent design, which is a challenging task. This study leverages the in-finger vision to inpaint occluded regions of the external environment, achieving coherent scene reconstruction for visual perception. By tracking real-time segmentation of the Soft Polyhedral Network’s large-scale deformation, we achieved real-time markerless tactile sensing of 6D forces and torques. We demonstrate the capable performances of the SeeThruFinger for reactive grasping without using external cameras or dedicated force and torque sensors on the fingertips. Using the inpainted scene and the deformation mask, we further demonstrate the multi-modal performance of the SeeThruFinger architecture to simultaneously achieve various capabilities, including but not limited to scene inpainting, object detection, depth sensing, scene segmentation, masked deformation tracking, 6D force-and-torque sensing, and contact event detection, all within a single input from the in-finger vision of the See-Thru-Network in a markerless way. All codes are available at https://***/ancorasir/SeeThruFinger. © 2023, CC BY-NC-ND.

关键词： Tactile sensors

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