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TEPEN International Workshop on Fault Diagnostics and Prognostics, TEPEN-IWFDP 2024

作者： Liu, Fulong Guo, Honglin Zhang, Xiaotao Chen, Wei Gu, Fengshou Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China Tianjin300384 China Centre for Efficiency and Performance Engineering University of Huddersfield HuddersfieldHD1 3DH United Kingdom

ISBN: (纸本)9783031702341

The suspension system is critical to ensure the running safety and comfortability of railway vehicle. This paper employed conventional machine learning method of principal component analysis and support vector machine (PCA-SVM) to diagnose the damper fault, wheel surface fault, roller fault, damper fault coupled with wheel surface fault and damper fault coupled with wheel and roller surface faults. The effectiveness of this method was verified by data obtained from a 1/5th scaled roller rig. The results shown that the performance of PCA-SVM was acceptable for railway vehicle suspension system monitoring. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Rollers (machine components)

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Study on the amplitude-frequency characteristics of a non-planar complex structure

Study on the amplitude-frequency characteristics of a non-pl...

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第八届国际振动工程会议

作者： Ruiqin Wu Wei Zhu Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System School of Mechanical EngineeringTianjin University of Technology

The amplitude-frequency characteristics of a non-planar complex structure composed of a flexible beam and a ring are systematically investigated. The kinetic and strain potential energy expressions are theoretically calculated for the beam-ring system. Hamilton's principle is employed to derive the nonlinear governing equations of motion of the beam-ring structure. The nonlinear partial governing differential equation of motion for the beam-ring system is discretized into two coupled ordinary differential equations including quadratic and cubic nonlinearities by using Galerkin's technique. The method of multiple scales is utilized to approximately analyze the dynamical system and yield a set of autonomous equations. The amplitude-frequency characteristics and the stability of the steady-state solution are studied numerically. The frequency-response curves show that there exist multi-value solution and jump phenomenon in the system and some parameters of the amplitude-frequency equations have significant contributions to the nonlinear responses of the beam-ring system.

关键词： the beam-ring structure amplitude-frequency characteristics steady-state solution jump phenomenon

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Research on Task Scheduling Algorithms for Cloud-Edge Collaboration 19th

Research on Task Scheduling Algorithms for Cloud-Edge Collab...

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19th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2023

作者： Lu, Shuai Zhou, Haibo Zhao, Shuaishuai Xu, Wangbei Fang, Kai Tianjin300384 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China College of Mathematics and Computer Sciences Zhejiang A&F University Hangzhou311300 China

ISBN: (纸本)9783031651229

With the advent of the 5G era, the development of IoT technology has been accelerated. Due to the continuous increase in the amount of data waiting to be processed from the edge, edge nodes may struggle to handle such a vast amount of data. Therefore, the technology of cloud-edge collaboration has emerged, and how to achieve cloud-edge collaborative task scheduling has become a current research hotspot. This article provides a detailed exposition of the relevant work on task scheduling in the cloud-edge environment, and outlines the common optimization objectives in the cloud-edge collaboration scenario. The methods used to solve task scheduling problems are classified and summarized, including heuristic, heuristic algorithm based on linear programming, and meta-heuristic algorithms. The advantages and disadvantages of each algorithm are analyzed. Finally, the development trends of large-scale task scheduling in the cloud-edge environment are discussed, providing valuable insights for achieving real-time performance, efficiency, and energy conservation in the Internet of Things. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications engineering 2024.

关键词： Scheduling algorithms

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Influence of Micro-texture Parameters on Bone Drilling Force and Torque: A Finite Element Model

Influence of Micro-texture Parameters on Bone Drilling Force...

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2018 4th International Conference on mechanical engineering and Automation Science(ICMEAS2018)

作者： Yahui Hu Xiangjun Li Chuncheng Chen Lili Su QingchunZheng Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical EngineeringTianjin University of Technology

The micro-texture on the tool surface is an effective way to improve the quality of the drilling. While high-performance micro-texture plays an important role in improving the quality of working surface and prolonging the life of tool. In this study, a three-dimensional finite element model was established to study the relationship between drilling thrust, torque and microstructure parameters(micro-pit depth, micro-pit diameter and micro-pit spacing) during drilling of cortical bone. The model was validated by cortical bone drilling using a micro-structured tool. On basis of this, the thrust and torque prediction models of the micro-texture parameters were obtained. The results indicate that the thrust and torque increased with the increase of micro-pit diameter;while the increase of the micro-pit spacing caused the thrust and torque to decrease. When the depth of the micro-pit increased, the thrust and torque decreased first and then increased, and we found that the effect of micro-pit spacing and micro-pit depth on force and torque is insignificant.

关键词： Influence of Micro-texture Parameters on Bone Drilling Force and Torque A Finite Element Model

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Path planning for mobile robot using the novel repulsive force algorithm

Path planning for mobile robot using the novel repulsive for...

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2015 5th International Conference on Computer Sciences and Automation engineering(ICCSAE 2015)

作者： Yunwei Jia Guoqiang Yin Lianyu Zhao Xueping Li Siyue Sun School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System

A new type of repulsive force algorithm is proposed to solve the problem of local minimum and the target unreachable of the classic artificial potential field method in this paper. The Gaussian function that is related to the distance between the robot and the target is added to the traditional repulsive force, solving the problem of the goal unreachable with the obstacle nearby;variable coefficient is added to the repulsive force component to resize the repulsive force, which can solve the local minimum problem when the robot, the obstacle and the target point are in the same line. The effectiveness of the algorithm is verified by simulation experiments based on MATLAB.

关键词： Artificial potential field localminimum goal unreachable mobile robot

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Research on Robot Optimal Working Space Based on Spiral Theory

Research on Robot Optimal Working Space Based on Spiral Theo...

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2022 International Symposium on Robotics, Artificial Intelligence, and Information engineering, RAIIE 2022

作者： Li, Yu-Fei Ge, Wei-Min Zhang, Zhi-Li Zhao, Xiang-Bin College of Mechanical Engineering TianJin University of Technology TianJin province TianJin300074 China Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin300384 China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education Tianjin University of Technology Tianjin300384 China Intelligent Manufacturing College Tianjin Sino-German University of Applied Science Tianjin300350 China

ISBN: (纸本)9781510660137

Because industrial robots have uneven positioning accuracy in the overall working space, they have greatly limited their applications in the fields of high-precision production and *** this status quo, this article focuses on analyzing the optimal working space of industrial robots, and screening and limiting the optimal working scope of the selected industrial robots to ensure that the robot end is at a relatively high position with high positioning *** article selects the collaborative robot AUBO E3 for modeling, analysis and simulation. Calculate the robot based on the Jacques matrix and the number of conditions under the spiral theory, quantitatively depict the exercise performance of the *** excellent working space is visually simulated, and finally uses the API laser tracker to measure the end error of the robot. As a result, the accuracy of the end point in the optimal working space is higher than the endpoint accuracy of the overall work space. © 2022 SPIE.

关键词： Industrial robots

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Design of nonlinear separation controller based on heat relation for evaporator in STEC plant

Design of nonlinear separation controller based on heat rela...

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IEEE Winter Meeting Power engineering Society

作者： S. Goto M. Nakamura M. Kaijwara Y. Ikegami H. Uehara Department of Advanced Systems Control Engineering Saga University Saga Japan Department of Mechanical System Engineering Saga University Saga Japan

ISBN: (纸本)0780373227

Nonlinear separation control method was constructed for a STEC (spring thermal energy conversion) pilot plant. The nonlinear separation control consists of nonlinear statics compensation and linear dynamics compensation. In this paper, evaporator outlet heat quantity of working fluid was controlled by use of the nonlinear separation method.

关键词： Temperature control Springs Turbines Power generation Pumps Rivers Water heating Pressure control Boilers Refrigeration

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CDP-GAN:Near-Infrared and Visible Image Fusion Via Color Distribution Preserved GAN

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1698-1701页

作者： Jun Chen Kangle Wu Yang Yu Linbo Luo the School of Automation Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex SystemsEngineering Research Center of Intelligent Technology for Geo-ExplorationMinistry of EducationChina University of GeosciencesWuhan 430074China the Shanghai Institute of Technical Physics Key Laboratory of Infrared System Detecting and Imaging TechnologyChinese Academy of SciencesShanghai 200083China the School of Mechanical Engineering and Electronic Information China University of GeosciencesWuhan 430074China

Dear Editor,This letter is concerned with dealing with the great discrepancy between near-infrared(NIR)and visible(VS)image fusion via color distribution preserved generative adversarial network(CDP-GAN).Different from the global discriminator in prior GAN,conflict of preserving NIR details and VS color is resolved by introducing an attention guidance mechanism into the ***。

关键词： details dealing preserving

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Nanofabrication of three-dimensional imprint diamond molds by ECR oxygen ion beams using polysiloxane

Nanofabrication of three-dimensional imprint diamond molds b...

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作者： Shuji, Kiyohara Tomoyuki, Kashiwagi Hirofumi, Takikawa Yuichi, Kurashima Yoshio, Taguchi Yoshinari, Sugiyama Electric and Control System Engineering Course Faculty of Advanced Engineering Maizuru National College of Technology 234 Aza Shiroya Maizuru Kyoto 625-8511 Japan Department of Electrical and Electronic Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan Department of Mechanical Systems Engineering University of Yamanashi 4-3-11 Takeda Kofu Yamanashi 400-8511 Japan Application and Technical Section ELIONIX INC 3-7-6 Motoyokoyama Hachioji Tokyo 192-0063 Japan

We have investigated the nanofabrication of three-dimensional (3D) chemical vapor deposited (CVD) diamond molds in Electron Cyclotron Resonance (ECR) oxygen ion beam etching technologies using polysiloxane [-R2SiO-]n as an electron beam (EB) mask and a room-temperature (RT)-imprint resist material. The polysiloxane exhibited a negative-exposure characteristic and its sensitivity was 5:5 × 10 -5 C/cm2. The maximum etching selectivity of polysiloxane film against diamond film was 4.7, which was obtained under the following ECR oxygen ion etching conditions: ion energy of 400 eV, ion incidence angle of 0 ° , microwave power of 100 W, gas pressure of 1:4 × 10 -2 Pa and stage temperature of 24 ° C. The diamond molds of cone and tetragonal pyramid dots were fabricated with polysiloxane mask in EB lithography technology using the RT-nanoimprint lithography (NIL) process. The dots are 500, 600, 700, 800, 900 nm in diameter and width respectively. The pitch between the dots is 2 μm, and each dot has a height of about 1 μm. It was found that the optimum imprinting pressure and its depth obtained after the press for 5 min were 0.5 MPa and 0.5 μm respectively. The resulting diameter of each imprinted polysiloxane pattern was in good agreement with that of the 3D-diamond mold. We carried out the RT-NIL process for the fabrication of diamond nanopatterns, using the 3D-diamond molds that we developed. © 2009 The Surface Science Society of Japan.

关键词： Room temperature

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USING DEEP LEARNING FOR AUTOMATIC DEFECT DETECTION ON A SMALL WELD X-RAY IMAGE DATASET

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2022年第2期84卷 267-278页

作者： Zheng, Qingchun Li, Xiaoyang Zhu, Peihao Ma, Wenpeng Liu, Jingna Liu, Qipei Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China China

The quality of welding is directly related to the performance and life of welded products. This paper proposes an automatic defect detection method using deep learning on a small weld X-ray image dataset. Combined with Generative Adversarial Network (GAN) and Deep Convolutional Neural Network (DCNN), this method can successfully deal with the problem of data imbalance in small image dataset and achieves a good detection effect for low-contrast defect images. Extensive experiments have proved that this approach could accurately and quickly complete the location and detection task of internal defects of welds, and it achieves the Mean Average Precision (mAP) result as 91.64%. © 2022, Politechnica University of Bucharest. All rights reserved.

关键词： Defects

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