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Spatiotemporal evolution laws of sector-shaped dielectric-barrier-discharge plasma actuator

Plasma Science and Technology 2024年第10期26卷 108-115页

作者： Borui ZHENG Jianbo ZHANG Shaojie QI Jianghua XU Yiche LI Yuanzhong JIN Dongliang BIAN School of Automation and Information Engineering Xi’an University of TechnologyXi’an 710048People’s Republic of China Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing Xi’an 710048People’s Republic of China School of Mechanical and Precision Instrument Engineering Xi’an University of TechnologyXi’an 710048People’s Republic of China Science and Technology on Plasma Dynamics Laboratory Air Force Engineering UniversityXi’an 710038People’s Republic of China

Dielectric barrier discharge(DBD)plasma actuators are widely used in active flow control due to their simple design and rapid ***,they need more effectiveness and discharge *** overcome these limitations,a sector-shaped dielectric barrier discharge(SS-DBD)plasma actuator with an adjustable jet angle was developed to enhance flow control *** flow field dynamics induced by the SS-DBD plasma actuator were quantitatively analyzed using particle image velocimetry(PIV).Experimental investigations showed that precise adjustments to the actuation voltage can modulate the maximum velocity of the induced ***,a quasi-linear relationship between the sector-shaped angles of the SS-DBD and the deflected jet angles was established,indicating that changes in the sector-shaped angles directly influence the direction of the deflected *** correlation enables precise control over jet angles,significantly enhancing flow control by adjusting the SS-DBD-PA's sector-shaped angle.

关键词： plasma flow control plasma actuator particle image velocimetry

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含外圈剥落和不对中的齿轮-转子-轴承系统振动分析

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Journal of Central South University 2024年第2期31卷 511-525页

作者：徐宏阳赵翔马辉罗忠韩清凯闻邦椿 School of Mechanical Engineering and Automation Northeastern UniversityShenyang 110819China Key Laboratory of Vibration and Control of Aero-Propulsion System(Ministry of Education) Northeastern UniversityShenyang 110819China

轴承套圈的不对中和剥落是影响齿轮-转子-轴承系统振动特性的典型误差和故障。为了研究外圈不对中和剥落对系统的耦合影响,有必要对含不对中和剥落的齿轮-转子-轴承系统振动特性进行分析。首先,考虑外圈不对中和剥落,计算了轴承的五自... 详细信息

轴承套圈的不对中和剥落是影响齿轮-转子-轴承系统振动特性的典型误差和故障。为了研究外圈不对中和剥落对系统的耦合影响,有必要对含不对中和剥落的齿轮-转子-轴承系统振动特性进行分析。首先,考虑外圈不对中和剥落,计算了轴承的五自由度非线性恢复力。然后,基于轮齿承载接触分析(LTCA)方法,计算了啮合刚度并且建立了直齿轮副的动力学模型。在此基础上,基于切片法建立了花键的等效刚度模型。最后,通过将轴承的恢复力模型、直齿轮副的动力学模型和花键的等效刚度模型与转子系统的有限元模型耦合,建立了齿轮-转子-轴承系统的动力学模型。分析表明,只有剥落位于承载区时,才会对轴承接触力、接触角和系统振动特性产生影响。外圈的不对中导致轴承的承载区范围增大,并使得剥落对系统产生影响的概率增加。

关键词：球轴承不对中剥落振动特性齿轮-转子-轴承系统

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Research on Safety Assessment Method for High-Speed Train Body with Damage 28

Research on Safety Assessment Method for High-Speed Train Bo...

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28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023

作者： Zhang, Ruijin Wang, Lei Pei, Youzhi Wei, Shaodong Key Laboratory of Vibration and Control of Aero-Propulsion System of Ministry of Education Northeastern University Shenyang China School of Mechanical Engineering and Automation Northeastern University Shenyang China

ISBN: (纸本)9798986576121

During the service of high-speed train, due to the variable environment and completed load conditions, fatigue damage inevitably occurred on key components of train body. Currently, damage tolerance assessment methods based on fracture mechanics are usually used for safety assessment of damaged train body structures. Considering the performance characteristics of aluminum alloy materials, this paper introduces the Failure Assessment Diagram (FAD) method that contemporaneously considers both plastic failure and brittle fracture into the safety assessment of train bodies. By studying the calculation of key parameters for failure evaluation points, 2A assessment curve was established for typical train body structures. Then, taking the draft sill of train body as an example, the safety assessment for the damaged part was conducted by combining finite element simulation analysis and failure assessment curve. Compared with damage tolerance assessment method, FAD method considers the impact of plastic failure and the evaluation results are slightly conservative. © RQD 2023. All rights *** right reserved.

关键词： Fatigue damage

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A Review of Parameter Estimation Methods of the Three-Parameter Weibull Distribution 9

A Review of Parameter Estimation Methods of the Three-Parame...

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9th International Symposium on system Security, Safety, and Reliability, ISSSR 2023

作者： Yang, Xiaoyu Xie, Liyang Liu, Yaoyao Zhao, Bingfeng Northeastern University School of Mechanical Engineering and Automation Shenyang China Northeastern University Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education Shenyang China

ISBN: (纸本)9798350302479

The Weibull distribution, widely employed in reliability engineering, life testing, and failure analysis, stands as a prominent probability distribution. Notably, the three-parameter Weibull distribution proves invaluable in capturing wear-out failure mechanisms within system modeling. This comprehensive review delves into distinct methodologies and techniques on parameter estimation for the three-parameter Weibull distribution, offering detailed comparisons. © 2023 IEEE.

关键词： Parameter estimation

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Quantum gyroscopes based on double-mode surface-acoustic-wave cavities

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Physical Review Applied 2024年第1期22卷 014061-014061页

作者： Yuting Zhu Shibei Xue Fangfang Ju Haidong Yuan Department of Automation Key Laboratory of System Control and Information Processing Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240 People’s Republic of China School of Physics and Electronics Department of Mechanical and Automation Engineering

Recent progress shows that a surface-acoustic-wave (SAW) cavity can not only induce quantum acoustic dynamics, but can also form optomechanical-like systems. Its operating frequencies in the microwave band make it resistant to the thermal noise of surrounding environments, while its radiation-pressure couplings make it susceptible to weak forces. Based on these advantages, we propose a gyroscope comprising coupled microwave-SAW cavities. In this paper we systematically consider the range, signal-to-noise ratio, and sensitivity, which are the three most important indices to gyroscopes, but only partially considered in existing works. Additionally, we establish the fundamental limits of sensitivity when the quantum input is in the vacuum state and the squeezed vacuum state. We find that squeezing improves sensitivity and can surpass the standard quantum limit. However, this improvement can only reach up to 2/2 even as the squeezed parameter approaches infinity, which is rarely noted in recent works. Finally, we also offer analytical constraints for cooperativity and squeezed parameters. These constraints can be utilized to design gyroscopes based on coupled cavities in experiments.

关键词： Open quantum systems & decoherence Quantum sensing Rotation sensing Coupled oscillators Cavity resonators Homodyne & heterodyne detection Microwave techniques Surface acoustic wave

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Flight Parameter Prediction and Fault Propagation based on Machine Learning and Symbolic Directed Graph 6

Flight Parameter Prediction and Fault Propagation based on M...

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6th International Symposium on Autonomous systems, ISAS 2023

作者： Li, Wenzhuo Guo, Kun Cheng, Yuehua Hu, Hengsong Xu, Cheng Yu, Ziquan Nanjing University of Aeronautics and Astronautics College of Automation Engineering Nanjing China Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Institute of Mechanical and Electrical Engineering Beijing China

ISBN: (纸本)9798350316155

Fault influence and propagation analysis of flight vehicle systems is an important element of flight vehicle health management and also an important problem to be solved. A fault influence model based on data-driven is established, including a prediction model of flight parameters under fault, a dynamic influence path, and an influence degree model. Based on the historical experimental data, a long and short-term memory neural network (LSTM) model is proposed to predict the time-series data of each flight parameter of the flight vehicle under fault;based on the prediction results, a symbolic directed graph (SDG) is used to describe the fault of the flight vehicle system, and then introduce the concept of a compatible path with time-series characteristics to describe the dynamic propagation process of the fault. The case shows that the method proposed in this paper enables qualitative and quantitative analysis of the fault influence, and can reasonably describe the fault propagation path and influence characteristics. © 2023 IEEE.

关键词： Directed graphs

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Two-Stage Robust Optimization Under Decision Dependent Uncertainty

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1295-1306页

作者： Yunfan Zhang Feng Liu Yifan Su Yue Chen Zhaojian Wang João P.S.Catalão State Key Laboratory of Power System and Generation Equipment the Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical and Automation Engineering the Chinese University of Hong KongHong Kong SARChina Ministry of Education Key Laboratory of System Control and Information Processing the Department of AutomationShanghai Jiao Tong Universityand also with Shanghai Engineering Research Center of Intelligent Control and ManagementShanghai 200240China Faculty of Engineering of the University of Porto and Institute for Systems and Computer Engineering Technology and Science(INESC TEC)Porto 4200-465Portugal IEEE

In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.

关键词： Benders decomposition decision-dependent uncertainty endogenous uncertainty robust optimization(RO)

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Self-Supervised Learning with Min-Max Distance Approach for Few-Shot Steel Surface Defects Recognition 43

Self-Supervised Learning with Min-Max Distance Approach for ...

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43rd Chinese control Conference, CCC 2024

作者： Wang, Tianlei Chen, Xinyao Li, Zeliang Zhou, Zhencai Zhou, Zhiheng Wuyi University School of Electronic and Information Engineering Jiangmen China Jiangmen Key Laboratory of Kejie Semiconductor Bonding Technology and Control System Jiangmen China Wuyi University School of Mechanical and Automation Engineering Jiangmen China Guangdong Province Kejie Machinery Automation Company Technical Department Jiangmen China

ISBN: (纸本)9789887581581

Surface defects in steel are crucial for quality inspection in the manufacturing of industrial metal products. While deep learning methods have been extensively studied in this field, the lack of large-scale annotated defect samples imposes significant labeling pressure, making training fully supervised deep models challenging. In response to this issue, we employ self-supervised learning for few-shot recognition, effectively learning representations from limited unlabeled data and achieving defect recognition with a small amount of labeled samples. In particular, we construct Other encoder with multi-view information and Base encoder with single view information based on the distillation self-supervised learning framework through the multi-crops mechanism, and the Other encoders and Base encoders perform information share. Our main contribution is that, based on this framework, we propose a new regularization method to solve the problem of instances deviating from the center of self-supervised clustering by minimizing the maximum instance distance (MMD). In testing, fine-tuning the MMD pre-trained model with a small number of labeled data achieves superior recognition performance on the steel surface defect dataset NEU, significantly outperforming other testing methods. © 2024 Technical Committee on control Theory, Chinese Association of automation.

关键词： Self-supervised learning

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Design and Implementation of Software for Torque Monitoring of Rolling Mill Spindle 27

Design and Implementation of Software for Torque Monitoring ...

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27th ISSAT International Conference on Reliability and Quality in Design

作者： Zhang, Ruijin Pei, Youzhi Li, Baoxu Wei, Qingzhe Key Laboratory of Vibration and Control of Aero-Propulsion System Ministry of Education School of Mechanical Engineering and Automation Northeastern University Shenyang China

ISBN: (纸本)9798986576107

As the key part in the rolling mill, the main drive spindle is subjected to the varied torque under service conditions. The real-time online monitoring on status of the main drive spindle is essential for ensuring the quality control and the safety of the equipment. Depending on the torque signal collected on-site by the sensors on the hot roughing mill spindle, a software was designed and developed for monitoring the running state of rolling mill and real-time calculate the fatigue damage in this paper. Rainflow counting algorithm was adopted to statistically analyze the random fatigue loads, and the nominal stress method was used to perform the fatigue analysis of the main drive spindle. Based on C + + and QT platform, the software was developed for Windows and Linux by using the multi-threading development technology, and it could realize simultaneous analysis and calculation for four spindles in a hot rolling production line. © 2022 International Society of Science and Applied Technologies

关键词： Torque

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Event-triggered learning of Euler-Lagrange systems: A Koopman operator framework 63

Event-triggered learning of Euler-Lagrange systems: A Koopma...

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63rd IEEE Conference on Decision and control, CDC 2024

作者： Zheng, Kaikai Shi, Dawei Li, Shilei Shi, Yang Beijing Institute of Technology Miit Key Laboratory of Servo Motion System Drive and Control School of Automation Beijing100081 China University of Victoria Faculty of Engineering Department of Mechanical Engineering VictoriaBCV8N 3P6 Canada

ISBN: (纸本)9798350316339

Euler-Lagrange (EL) systems represent a crucial and large class of dynamical systems, and a precise model of the true system would be beneficial in planning and tracking problems. This work aims to learn an unknown EL system using noisy measurement data to achieve improved data utilization efficiency. Specifically, for the considered EL system, a linear representation of the system is constructed using the Koopman operator, which is further characterized by sample data using Willems' fundamental lemma. Moreover, an event-triggered learning mechanism is proposed to improve data utilization efficiency, and it is designed based on the analysis of the learning error bounds. The effectiveness of the proposed event-triggered learning approach is validated through a manipulator example. © 2024 IEEE.

关键词： Lagrange multipliers

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