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Automatic Model Creation Method of Hierarchical Parallel Network Model for Transfer Diagnosis of Rotating Machinery

Jixie Gongcheng Xuebao/Journal of Mechanical Engineering 2022年第22期58卷 115-128页

作者： Zhou, Jian Zheng, Lianyu Wang, Yiwei Wang, Yichuan School of Mechanical Engineering and Automation Beihang University Beijing100191 China MIIT Key Laboratory of Intelligent Manufacturing Technology for Aeronautics Advanced Equipments Ministry of Industry and Information Technology Beijing100191 China Beijing Institute of Precision Mechatronics Control Equipment Beijing100076 China Aerospace Servo Drive and Transmission Technology Laboratory Beijing100076 China

In view of the current deep learning-based fault diagnosis methods of rotating machinery relying on manual modeling experience, requiring manual parameter adjustment and continuous trial-and-error iteration, re-creation of diagnosis models for different diagnostic tasks, an automatic creation method of hierarchical parallel network model for transfer diagnosis of rotating machinery is proposed, which can quickly and automatically search high precision diagnosis models with heterogeneous transfer performance according to different diagnosis tasks. Based on neural architecture search (NAS) and modular design ideas, two types of foundation blocks of parallel structure containing multiple layers are designed, which is different from the traditional NAS method to search layer by layer, but searches based on the foundation blocks. The controller outputs decision sequence to determine the foundation blocks’ structure and stacks them to form a hierarchical parallel candidate model. Then according to the verification results of the candidate model on the diagnosis task, the controller is optimized using the strategy gradient algorithm, and the diagnosis accuracy of the candidate model is continuously improved by iterating the above process. The hierarchical parallel structure of the candidate model supports its good heterogeneous transfer performance. In addition, in order to solve the time-consuming bottleneck problem of NAS method, the weight sharing mechanism is set in the candidate model training process to improve the efficiency of automatic modeling. The proposed method is used to conduct automatic modeling and heterogeneous transfer diagnosis experiments for four different rotating machinery fault datasets, and the results show that the proposed method can efficiently create 100% accuracy diagnosis models for four different diagnosis tasks, consuming 313 s to 1 601 s, and the candidate model can achieve a transfer diagnosis accuracy of more than 95% for the target dia

关键词： Rotating machinery

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Fast full-field 3D surface profilometry by heterodyne interferometry of a femtosecond laser

Fast full-field 3D surface profilometry by heterodyne interf...

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Conference on Lasers and Electro-Optics (CLEO)

作者： Liheng Shi Yue Wang Guanhao Wu Department of Precision Instrument State Key Laboratory of Precision Measurement Technology and Instruments Tsinghua University Beijing China Division of Advanced Manufacturing Graduate School at Shenzhen Tsinghua University Shenzhen China

ISBN: (数字)9781957171050

ISBN: (纸本)9781665466660

We present an interferometer of a femtosecond laser for fast full-field 3D surface profilometry. The heterodyne interference is introduced to reduce the requirement of camera’s frame rate, thus achieving an enhancement on the measured speed. This method has experimentally demonstrated to increase the measurement speed several fold without significant loss of precision.

关键词： Three-dimensional displays measurement by laser beam Surface emitting lasers Optical variables measurement Lasers and electrooptics Loss measurement Optical harmonic generation

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LanCOPE: Language-Guided Category-Level Object Pose Estimation from a Single RGB Image

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IEEE Robotics and Automation Letters 2025年第7期10卷 7555-7562页

作者： Yang, Hui Sun, Wei Liu, Jian Zheng, Jin Dai, Zhenqi Mian, Ajmal Hunan University National Engineering Research Center for Robot Visual Perception and Control Technology College of Electrical and Information Engineering State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Changsha 410082 China Central South University School of Architecture and Art Changsha 410082 China The University of Western Australia Department of Computer Science and Software Engineering 6009 WA Australia

Monocular RGB-based category-level object pose estimation is more practical and cost-effective for robotics. However, existing methods do not fully exploit the rich semantic and contextual information in multimodal data (e.g. language) that provides additional object attributes to guide the model in extracting category features more reliably. We propose a language-guided category-level object pose estimation method (LanCOPE), taking a single RGB image as input. Our method uses DINOv2 to recover depth from a single RGB image and converts it into point cloud to perceive the object's geometry. We then introduce language descriptions for the RGB image, estimated point cloud and overall scene to better guide the point cloud encoder and image encoder in learning category features. We develop a cross-modal differential perception feature fusion network to fuse multimodal features. This network employs a differential perception module to eliminate redundant information across different modalities, highlighting signifcant semantic differences and similarities. Furthermore, it uses a cross-attention mechanism to fuse the semantic information of the language and vision features, improving the overall perception. Finally, we design a denoising network based on the skip fusion transformer to recover the object pose accurately. Extensive experiments on REAL275 and Wild6D datasets show that LanCOPE achieves state-of-the-art performance. Our code is available at LanCOPE. © 2016 IEEE.

关键词： category-level object pose estimation languag RGB image

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Designing multi-level buckling-resistant lattice truss structures based on space group P23 of crystal lattices

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Composite Structures 2025年 368卷

作者： Wang, Yongjun Lai, Changliang Bao, Wenyi Jiang, Ruiyi Li, Xiaofei Fan, Hualin Research Center of Lightweight Structures and Intelligent Manufacturing State Key Laboratory of Mechanics and Control of Aerospace Structures Nanjing University of Aeronautics and Astronautics Jiangsu Nanjing210016 China Institute of Advanced Equipment and Structure Technology School of Mechanical and Electrical Engineering Guilin University of Electronic Technology Guilin541004 China National Engineering Research Center of Biomaterials Nanjing Forestry University Nanjing210037 China

This paper presents a method from the space group symmetry theory of crystal lattices to design lattice truss materials. Utilizing this method, a new hierarchical anti-buckling lattice structure was designed based on the P23 space group symmetry operation. With thermoplastic polyurethane elastomer as the matrix material, relevant specimens were manufactured. Quasi-static mechanical responses of this metamaterial were examined through experimental and numerical approaches. A systematic analysis was conducted on the effects of microstructural parameters on the deformation mechanism, including arrangement and number of unit cells, wall thickness ratio, and relative density. The results indicate that the designed structure exhibits a deformation mode with significant negative Poisson's ratio effect and multi-level buckling resistance. Moreover, the design method based on the space group symmetry theory of crystal lattices proposed in this paper can facilitate the development of more innovative lattice truss metamaterials. © 2025 Elsevier Ltd

关键词： Crystal lattices

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Design of Underactuated Tension-Driven Reconfigurable Track Robot

SSRN

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SSRN 2022年

作者： Xu, Ran Liu, Chao School of Mechanical Electronic and Control Engineering Beijing Jiaotong University Beijing100044 China Key Laboratory of Vehicle Advanced Manufacturing Measuring and Control Technology Beijing Jiaotong University Ministry of Education China

This paper proposed a novel underdrive reconfigurable single-track robot, which can concentrate track tension to one period of track and motivate reconfigurable mechanism. The robot has two motors to move and reconfigure. Through the reconfiguration, the robot can adjust its center of mass and cross various kinds of obstacles, like climbing stairs, crossing gaps, coming down from high platforms. The kinematic calculation has been made, and corresponding dynamic simulations have been analyzed. Based on the kinematic calculations and dynamic simulations, a phototype has been built and tested. © 2022, The Authors. All rights reserved.

关键词： Machine design

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Structural Optimization of a Magnetically Operated Actuator Mechanism for 10kV Circuit Breaker

Structural Optimization of a Magnetically Operated Actuator ...

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System Simulation technology and its Application (CCSSTA), IEEE China Conference on

作者： Chao Liang He Tian Guanqiao Zhao Jiangping Li Ziliang Zhu Ruixuan Shen Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin China National Demonstration Center for Experimental Mechanical and Electrical Engineering Education (Tianjin University of Technology) Tianjin China Tianjin Sanyuan Power Equipment Manufacturing Co. Ltd Tianjin China

ISBN: (数字)9798350366600

ISBN: (纸本)9798350366617

As the demand for reliable power supply in power systems grows, ensuring the performance of circuit breaker operating mechanisms is crucial. This performance is pivotal to the stability of the power grid, the speed of fault recovery, and the equipment’s lifespan. In this paper, we introduce a structural optimization plan for a new magnetic control operating mechanism designed for 10kV circuit breakers. Employing three-dimensional and mathematical modeling, complemented by finite element analysis with Maxwell software, we delved into an in-depth study of the mechanism’s structure, performance, and materials. We further conducted a parametric design and comparative analysis of key components. The simulation results, which exclude the spring load, demonstrate that the optimized circuit breaker can achieve a closing velocity of 3.07 m/s, an electromagnetic force peaking at 2.7 kN, and a closure time minimized to 8.5 ms. These enhancements notably improve the mechanism’s closing efficiency. Consequently, our research introduces a novel perspective to the field of reliability studies for magnetic control operating mechanisms.

关键词： Magnetic cores Circuit breakers Magnetic domains Power system stability Power system reliability Magnetic analysis Magnetosphere Integrated circuit reliability Magnetic circuits Optimization

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Eis-Based State-of-Health Estimation of Lithium-Ion Batteries Using Multiple Correlation Analysis-Based Feature Screening and Info-Esn Estimation Model

SSRN

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SSRN 2024年

作者： Dai, Houde Lai, Yuan Yu, Hui Yang, Yuxiang Zhu, Liqi School of Advanced Manufacturing Fuzhou University Fujian Jinjiang362251 China Quanzhou Institute of Equipment Manufacturing Fujian Institute of Research The Structure of Matter Chinese Academy of Sciences Fujian Jinjiang362215 China School of Engineering and Design Hunan Normal University Hunan Changsha410081 China Fujian Key Laboratory of Special Intelligent Equipment Safety Measurement and Control Fujian Special Equipment Inspection and Research Institute Fuzhou350008 China

Lithium-ion batteries (LIBs) are widely employed in electric vehicles (EVs) owing to their high energy density, and superior longevity. As a vital evaluation index for the degradation state of LIBs, the state of health (SOH) must be accurately estimated. This study adopts an electrochemical impedance spectroscopy (EIS)-based equivalent circuit model (ECM) to estimate battery SOH. The internal dynamic electrical behaviors of LIBs are decoupled by the distribution of relaxation times (DRT) method, where the critical degradation features are extracted from the DRT curves and the fitted ECM parameters. Subsequently, referring to the ensemble learning approach (ELA), the multiple correlation analysis (MCA) is utilized to identify the most pertinent degradation features. The battery data are analyzed for various types of correlations to ascertain the optimal number and combination of health indicators (HIs). Furthermore, the weighted mean of vectors (INFO) algorithm is applied to optimize the hyperparameters in the echo state network (ESN) model for SOH estimation. The INFO-ESN model is verified with six types of LIBs under different operating conditions. Experimental results of the proposed method manifest that the RMSE and MAE of the battery SOH are within 1%, thereby verifying the accuracy and robustness of the proposed method. © 2024, The Authors. All rights reserved.

关键词： Relaxation time

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Design of a Passive Gait‑based Ankle‑foot Exoskeleton with Self‑adaptive Capability

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Chinese Journal of Mechanical Engineering 2020年第3期33卷 86-96页

作者： Xiangyang Wang Sheng Guo Bojian Qu Majun Song Haibo Qu Robotics Institute School of MechanicalElectronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China Key Laboratory of Vehicle Advanced Manufacturing Measuring and Control TechnologyMinistry of EducationBeijing Jiaotong UniversityBeijing 100044China School of Engineering Science KTH Royal Institute of Technology10044 StockholmSweden.

Propulsion during push-off is the key to realizing human *** have evolved a way of walking with high energy utilization,but it can be further *** inspiration from the muscle-tendon unit,a passive spring-actuated ankle-foot exoskeleton is designed to assist with human walking and to lengthen walking duration by mechanically enhancing walking *** of the gait events is realized using a smart clutch,which is designed to detect the contact states between the shoe sole and the ground,and automatically switch its working *** engagement of a suspended spring behind the human calf muscles is hence controlled and is in synchrony with *** device is completely passive and contains no external power *** is stored and returned passively using the *** our walking trials,the soleus electromyography activity is reduced by as much as 72.2%when the proposed ankle-foot exoskeleton is worn on the human *** influence of the exoskeleton on walking habits is also *** results show the potential use of the exoskeleton in humans’daily life.

关键词： Ankle-foot exoskeleton Energy cost Self-adaptiveness Human augmentation

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An Attention-LSTM-based Fault Diagnosis Method for Satellite Attitude control System

An Attention-LSTM-based Fault Diagnosis Method for Satellite...

引用

Fully Actuated System Theory and Applications (CFASTA), Conference on

作者： Siyuan Ma Sheng Gao Xiaozhong Zuo Zhengyang Lv Chenyang Zou State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang China China-Portugal Belt and Road Joint Laboratory on Space & Sea Technology Advanced Research Shanghai China College of Electrical and Control Engineering Shenyang Jianzhu University Shenyang China

ISBN: (数字)9798350373691

ISBN: (纸本)9798350373707

This study proposes a fault diagnosis method based on attention-LSTM for the satellite attitude control system. First, the hidden correlation information between high-dimensional variables is exploited through the variable attention layer. Then, deep temporal features are extracted with using the LSTM network layer. Finally, the time attention layer is introduced to increase the weight of important temporal information, effectively avoiding the problem of being forgotten due to too long input sequence and too many deep temporal features. The identification accuracy of slow fault in satellite attitude control system can be improved. The method is validated using data from the satellite semi-physical simulation platform, which demonstrates the effectiveness of this method.

关键词： Fault diagnosis Analytical models Visualization Satellites Recurrent neural networks Correlation Attitude control

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Nonlinear Cooperative Output Regulation with Input Delay Compensation

arXiv

引用

arXiv 2024年

作者： Zheng, Shiqi Ahn, Choon Ki Jiang, Xiaowei Yan, Huaicheng Shi, Peng The School of Automation China University of Geosciences Wuhan430079 China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan430074 China The Engineering Research Center of Intelligent Technology for Geo-Exploration Ministry of Education Wuhan430074 China The Shaoyang Institute of Advanced Manufacturing Technology Shaoyang422000 China The School of Electrical Engineering Korea University Seoul136-701 Korea Republic of The Key Laboratory of Smart Manufacturing in Energy Chemical Process of Ministry of Education East China University of Science and Technology Shanghai200237 China The School of Electrical and Mechanical Engineering The University of Adelaide AdelaideSA5005 Australia

This paper investigates the cooperative output regulation (COR) of nonlinear multi-agent systems (MASs) with long input delay based on periodic event-triggered mechanism. Compared with other mechanisms, periodic event-triggered control can automatically guarantee a Zeno-free behavior and avoid the continuous monitoring of triggered conditions. First, a new periodic event-triggered distributed observer, which is based on the fully asynchronous communication data, is proposed to estimate the leader information. Second, a new distributed predictor feedback control method is proposed for the considered nonlinear MASs with input delay. By coordinate transformation, the MASs are mapped into new coupled ODE-PDE target systems with some disturbance-like terms. Then, we show that the COR problem is solvable. At last, to further save the communication resource, a periodic event-triggered mechanism is considered in the sensor-to-controller transmission in every agent. A new periodic event-triggered filter is proposed to deal with the periodic event-triggered feedback data. The MASs with input delay are mapped into coupled ODE-PDE target systems with sampled data information. Then, Lyapunov-Krasovskii functions are constructed to demonstrate the exponential stability of the MASs. Simulations verify the validity of the proposed results. © 2024, CC BY-NC-ND.

关键词： Feedback control

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