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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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A novel method to increase energy density of permanent magnet machine based on multi-physical field analysis

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UPB Scientific Bulletin, Series D: Mechanical Engineering 2020年第4期82卷 79-92页

作者： Zheng, Qingchun Zhao, Yangyang Zhu, Peihao Wang, Sen Liu, Jingna Ma, Wenpeng Li, Xiang Xiao, Yinhong Wang, Naixin Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering Tianjin University of Technology Tianjin300384 China School of Computer Science Tianjin University of Technology Tianjin300384 China School of Automation Shenyang Institute of Engineering Shenyang110136 China Baoding Power Supply Company Hebei Electric Power Company State Grid Corporation of China Baoding071000 China

As an important component of all-electric aircraft, the main propulsion machine is developing towards high energy density, high efficiency and high fault tolerance. In order to improve the energy density of main propulsion machine for all-electric aircraft, a novel approach, which can be used for excellent performance improvement of electric machine of all-electric aircraft, is reported in this paper. The analytical formula of energy density is put forward and the design method of high energy density permanent magnet machine is presented. A high energy density machine with rated power of 30kW is designed, and the electromagnetic field simulation analysis, strength and stress structure verification, temperature field simulation analysis and multi-physical field coupling analysis are obtained. A prototype is developed, the experiment platform is established, and experiments are performed. The energy density of main propulsion machine designed is up to 21kW·N·m/kg2, and the index is increased by 3.2 times. The optimal method based on the multi-physical field analysis can be also applied to other high energy density machines. © 2020, Politechnica University of Bucharest. All rights reserved.

关键词： Electromagnetic fields

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Highly Stretchable, Self-Healable, and Conductive Gelatin Methacryloyl Hydrogel for Long-Lasting Wearable Tactile Sensors

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advanced science (Weinheim, Baden-Wurttemberg, Germany) 2025年 e02678页

作者： Zhikang Li Bin Wang Jijian Lu Yumeng Xue Jiaxiang Wang Boqing Jia Gengyu Han Yihe Zhao Muhammad Afzal Khan Qureshi Lan Yu Kang Zhao Min Li Ping Yang Dejiang Lu Libo Zhao State Key Laboratory for Manufacturing System Engineering International Joint Laboratory for Micro/Nano Manufacturing and Measurement Technologies State Industry-Education Integration Center for Medical Innovations Xi'an Jiaotong University (Yantai) Research Institute for Intelligent Sensing Technology and System Xi'an Jiaotong University Xi'an 710049 China. Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing Yantai 264000 China. School of Instrument Science and Technology Xi'an Jiaotong University Xi'an 710049 China. School of Mechanical Engineering Xi'an Jiaotong University Xi'an 710049 China. State Key Laboratory of Solidification Processing School of Materials Science and Engineering Northwestern Polytechnical University and Shaanxi Joint Laboratory of Graphene Xi'an 710072 China. Department of Orthopaedics Peking University Third Hospital Beijing 100191 China. Engineering Research Center of Bone and Joint Precision Medicine Peking University Third Hospital Beijing 100191 China. Beijing Key Laboratory of Spinal Disease Research Peking University Third Hospital Beijing 100191 China.

Constructing hydrogels with both remarkable mechanical and self-healing properties is highly desirable for soft electronics, yet remains challenging due to conflicting demands on chemical bonds and polymer chain mobility. Herein, a highly stretchable, self-healing, and conductive gelatin methacryloyl (GelMA) hydrogel is developed by incorporating polyvinyl alcohol, N-(2-amino-2-oxoethyl)-2-propenamide, sodium tetraborate, and sodium chloride into GelMA, followed by a two-step polymerization process. The introduced novel interpenetrating networks, hierarchical hydrogen bonds (weak and strong H-bonds), and borate ester bonds (BEBs) synergistically improve the mechanical strength, and concurrently function as sacrificial bonds for energy dissipation under deformation. Moreover, the constructed reversible BEBs and weak H-bonds enable autonomous self-healing at room temperature. The resulting hydrogel achieves remarkable stretchability (≈160%), tensile strength (≈130 kPa), and self-healing efficiency (86%), surpassing previously reported GelMA hydrogels. Importantly, a self-healing GelMA hydrogel strain sensor is demonstrated, featuring a high gauge factor (≈3.28), ultra-low detection limit (0.1%), and excellent recovery of sensitivity (≈100%) and detection range (≈75%) after damage. Successful monitoring of subtle and large-scale human motions with both original and healed sensors highlights the device's durability and longevity. This study provides a promising approach for the rational design and practical application of GelMA hydrogels in wearable bioelectronics.

关键词： gelatin methacryloyl (GelMA) hydrogel ionic conductivity self‐healing stretchability wearable strain sensors

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Road scene graph: A semantic graph-based scene representation dataset for intelligent vehicles

arXiv

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arXiv 2020年

作者： Tian, Yafu Carballo, Alexander Li, Ruifeng Takeda, Kazuya Graduate School of Informatics Nagoya University Furo-cho Chikusa-ku Nagoya464-8603 Japan Institute of Innovation for Future Society Nagoya University Furo-cho Chikusa-ku Nagoya464-8601 Japan Tier IV Inc. Nagoya University Open Innovation Center 1-3 Mei-eki 1-chome Nakamura-Ward Nagoya450-6610 Japan State Key Laboratory of Robotic and Intelligent System Harbin Institute of Technology Heilongjiang China

Rich semantic information extraction plays a vital role on next-generation intelligent vehicles. Currently there is great amount of research focusing on fundamental applications such as 6D pose detection, road scene semantic segmentation, etc. And this provides us a great opportunity to think about how shall these data be organized and exploited. In this paper we propose road scene graph, a special scene-graph for intelligent vehicles. Different to classical data representation, this graph provides not only object proposals but also their pair-wise relationships. By organizing them in a topological graph, these data are explainable, fully-connected, and could be easily processed by GCNs (Graph Convolutional Networks). Here we apply scene graph on roads using our Road Scene Graph dataset5, including the basic graph prediction model. This work also includes experimental evaluations using the proposed model. © 2020, CC-BY.

关键词： Graphic methods

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Fuzzy Adaptive Control-based Real-time Obstacle Avoidance under Uncertain Perturbations

Fuzzy Adaptive Control-based Real-time Obstacle Avoidance un...

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International Conference on advanced robotics and Mechatronics (ICARM)

作者： Yingbai Hu Guang Chen Longbin Zhang Hang Su Mengyao Li Yunus Schmirander Hu Cao Alois Knoll Chair of Robotics Artificial Intelligence and Realtime Systems Technical University of Munich Munich Germany College of Automotive Engineering Tongji University Shanghai China KTH MoveAbility Lab KTH Royal Institute of Technology Stockholm Sweden Politecnico di Milano Milano Italy Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (数字)9781728164793

ISBN: (纸本)9781728164809

Dynamic Movement Primitives (DMPs) framework is a powerful approach to imitate motor skills, which has outstanding characteristics, such as convergence to the goal position and good imitation performance. Considering complex motion scenes of manipulators, such as changing the goal position or adding obstacles, the original DMPs framework is not sufficient for the requirements. In this paper, we propose a learning control-based hierarchical control strategy to adapt to new goal positions and avoid obstacles: the high-level learning scheme is targeted at imitating the motor skill and generating the optimization trajectory for obstacle avoidance; the lower-level control scheme focuses on the safety and stability of the robot's movement with unknown disturbances. Firstly, the enhanced DMPs framework is presented to imitate the trajectory from human demonstrations, where the novel DMPs can adapt to new goal position with the changing goal, and avoid single or multiple obstacles. Then, the fuzzy adaptive control method is employed to control redundant manipulators, where the fuzzy logic system (FLS) is incorporated to approximate an unknown nonlinear function term of the unknown disturbance. Finally, the effectiveness of the proposed learning-control strategy is demonstrated with simulation results. The results show that the developed hierarchical strategy has good performance for new goal adaptation and obstacle avoidance.

关键词： Collision avoidance Trajectory Manipulator dynamics Nonlinear dynamical systems Adaptive control

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Discrete Element Simulation of Durability for Bionic Wheels of Mars Rover

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Journal of Physics: Conference Series 2020年第5期1507卷

作者： Y C Lin Y P Yan B F Yuan Y F Liu M Zou Beijing Key Laboratory of Intelligent Space Robotic System Technology and application Institute of Spacecraft System Engineering CAST Beijing 100094 China Key Laboratory for Bionics Engineering of Education Ministry Jilin University Changchun 130022 China

Four kinds of bionic surfaces (convex, scale-like, ribbed and concave shape) for Mars rover wheels were designed to improve wheel durability. A discrete element wheel-soil simulation system was developed, and three-dimensional discrete element analysis and soil bin tests were conducted. The results show that the masses of the convex and scale-like forms increased by 5.4% and 17%, respectively, and that the tangential cumulative forces decreased by about 40% and 70%, respectively. The wear mass decreased by 53% and 47%, respectively, compared with a prototypical wheel. The simulation shows that the durability increased significantly. The average tangential cumulative forces of the concave and ribbed shapes increased by more than 50%, and the wear mass decreased by 35% and 32%, respectively, compared with a prototypical wheel. The simulation shows that the results were not definitive. The analysis shows that the durability of the wheels can be improved via bionic optimization method. These results therefore provide a basis and reference for the design and optimization of the Mars rover's wheel surface.

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Non-invasive optical focusing inside strongly scattering media with linear fluorescence

arXiv

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arXiv 2020年

作者： Li, Dayan Sahoo, Sujit Kumar Lam, Huy Quoc Wang, Dong Dang, Cuong Nanyang Technological University Singapore 50 Nanyang Avenue Singapore639798 Singapore School of Electrical Sciences Indian Institute of Technology Goa Goa403401 India Temasek Laboratories @ Nanyang Technological University 50 Nanyang Avenue 639798 Singapore Key Laboratory of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics and Optoelectronics Taiyuan University of Technology Taiyuan030024 China

Non-invasive optical focusing inside scattering media is still a big challenge because inhomogeneous media scatter both incoming photons for focusing and outgoing photons for observation. Various approaches, utilizing non-linear fluorescence or ultrasound, have been reported to address this difficulty. However, implementation of these methods is complicated and highly expensive, as ultrafast laser systems or photo-acoustic equipment must be employed. Here, we demonstrate a wavefront shaping technique to achieve non-invasive focusing (NiF) inside scattering media using only a linear fluorescent signal. Contrast and mean of incoherent speckles, produced by the linear fluorescence, are utilized as feedback signals to optimize the input wavefront. While increasing speckle contrast makes the focus tighter, and increasing the speckle mean enhances the intensity, fine-tuning the contribution of these two factors in our two-step optimization is essential. An optimal wavefront is found to achieve simultaneously both a micrometer focal spot size (down to 20 μm diameter) and high intensity (more than a 100-fold enhancement) inside the scattering media. Our method promises a new route in life science towards focusing, imaging or manipulating deep into biological tissues with linear fluorescent agents. Copyright © 2020, The Authors. All rights reserved.

关键词： Fluorescence

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Gradient piezoelectric composites for ultrasonic transducer design and imaging applications

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Journal of Materiomics 2025年第6期11卷

作者： Chenxue Hou Zhaoxi Li Chunlong Fei Qibo Lin Xiaofei Luo Xiongwei Wei Yiheng Yang Qi Lu Yi Quan Guangzhi Dong Zeyu Chen Xiaozhou Lü Weimin Bao Yintang Yang Shaanxi Provincial Key Laboratory of Integrated Circuit and System Integration Faculty of Integrated Circuit Xidian University Xi'an 710071 China The State Key Laboratory of Analog and Mixed-Signal VLSl Institute of Microelectronics University of Macau Macao 999078 China School of Aerospace Science and Technology Xidian University Xi'an 710071 China State Key Laboratory of Precision Manufacturing for Extreme Service Performance College of Mechanical and Electrical Engineering Central South University Changsha 410083 China College of Automotive and Mechanical Engineering Changsha University of Science and Technology Changsha 410114 China Hunan Province University Key Laboratory of Intelligent Testing and Control Technology for Engineering Equipment Changsha 410114 China School of Advanced Materials and Nanotechnology Xidian University Xi'an 710126 China Furong Laboratory (Precision Medicine) Changsha 410008 China National Engineering Research Center of Personalized Diagnostic and Therapeutic Technology Xiangya Hospital Central South University Changsha 410008 China Hunan Engineering Research Center of Skin Health and Disease Xiangya Hospital Central South University Changsha 410008 China

Ultrasonic imaging technology has advanced rapidly, the escalating demand for imaging quality has driven the continuous development of ultrasonic transducers featuring high-performance. Among them, the crucial factors constraining the further enhancement of imaging quality are the frequency of the device and the intensity of the echo signal. Piezoelectric composites have become a hotspot for ultrasonic transducers and imaging applications due to their excellent properties. However, due to the limitations of the accuracy of the cutting process, the development of piezoelectric/polymer composites is often undermined by undesirable pseudo-vibrations, especially in high-frequency applications, which will significantly reduce energy conversion efficiency. In this study, a novel design method of 1–3 piezoelectric composites with gradient nanoparticle doped polymer is proposed to eliminate the undesired lateral vibrations. Based on the optimized composites, a high-performance composite ultrasonic transducer with a center frequency of 8.51 MHz is prepared. Compared with the traditional composite transducer, the optimized transducer improves the echo voltage amplitude significantly, reaching nearly 3 times. The above advantages are further verified in high-quality ultrasound and photoacoustic imaging. The optimization method has valuable guidance for the design of high-frequency composite transducers, which have great potential in ultrasonic and photoacoustic imaging applications.

关键词： Piezoelectric composites Ultrasonic transducer Imaging applications Lateral vibration Finite element analysis

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RCGA-Net: An Improved Multi-hybrid Attention Mechanism Network in Biomedical Image Segmentation

RCGA-Net: An Improved Multi-hybrid Attention Mechanism Netwo...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Feng Xiao Cong Shen Yu Chen Tian Yang Shengyong Chen Zhijun Liao Jijun Tang School of Computer Science and Engineering Tianjin University of Technology Tianjin P.R.China Engineering Research Center of Learning-Based Intelligent System Ministry of Education Tianjin P.R.China School of Basic Medical Sciences Fujian Medical University Fuzhou Fujian P.R.China College of Intelligence and Computing Tianjin University Tianjin P.R.China Key Laboratory of Systems Bioengineering Ministry of Education Tianjin P.R.China Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong P.R.China University of South Carolina Columbia SC U.S.A.

ISBN: (纸本)9781665429825

Drawing support from an effective Medical Image Segmentation (MIS) is conducive to a substantial diagnostic basis for the physicians to identify the focus lesion in the patient body and give the subsequent clinical assessment of the patient status. Although various works have tried the challenging quantitative analysis problem, it is still difficult to conduct precise automatic segmentation, especially the soft tissue organs. In this decade, with the increased amount of available datasets, deep learning-based networks have achieved remarkable performance in image processing. Inspired by the state-of-the-art deep learning works, in this paper, we propose an end-to-end multi-layer network named RCGA-Net. It consists of an encoder-decoder backbone that integrates a coordinate attention mechanism based on space and channel and a global context extraction module to highlight more valuable information. To evaluate the performance of RCGA-Net, we apply it to different kinds of clinical and experimental MIS tasks to testify its generalization ability. Extensive experiments represent that our schema has taken the outperform or compatible results among the comparison methods group. Specifically, the numeric result of RCGA-Net on the pulmonary dataset has achieved a 99.12% optimum F1-score.

关键词： Deep learning Image segmentation Statistical analysis Lung Predictive models Feature extraction Generative adversarial networks

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Modified ddpg algorithm applied to simulation supervised learning 48

Modified ddpg algorithm applied to simulation supervised lea...

引用

48th International Conference on Computers and Industrial Engineering, CIE 2018

作者： Jia, Zhengxuan Xiao, Yingying Zhao, Zhilong Lin, Tingyu State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing China

With rapid development of machine learning, supervised learning and reinforcement learning have witnessed a considerable success. However, some problems like the absence of supervising signal in supervised learning are not yet solved. In this paper, a novel approach has been proposed based on the deep deterministic policy gradient algorithm to address such kind of problems, forming the training of an agent supervised by the simulation environment. As verification, our proposed approach is applied to a modified tower defense game, and the experimental results confirmed the effectiveness of our proposed approach. © 2018, Curran Associates Inc. All rights reserved.

关键词： Supervised learning

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