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Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 David S. W. Williams, Daniele De Martini, Matthew Gadd, Paul Newman
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Keypoint-Guided Efficient Pose Estimation and Domain Adaptation for Micro Aerial Vehicles IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Ye Zheng, Canlun Zheng, Jiahao Shen, Peidong Liu, Shiyu Zhao
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Interactive Autonomous Navigation with Internal State Inference and Interactivity Estimation IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Jiachen Li, David Isele, Kanghoon Lee, Jinkyoo Park, Kikuo Fujimura, Mykel J. Kochenderfer
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Variable Wheelbase Control of Wheeled Mobile Robots With Worm-Inspired Creeping Gait Strategy IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Huanan Qi, Liang Ding, Miao Zheng, Lan Huang, Haibo Gao, Guangjun Liu, Zongquan Deng
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MS-VRO: A Multi-Stage Visual-Millimeter Wave Radar Fusion Odometry IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Yuwei Cheng, Mengxin Jiang, Yimin Liu
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Smooth Distances for Second Order Kinematic Robot Control IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Vinicius Mariano Gonçalves, Anthony Tzes, Farshad Khorrami, Philippe Fraisse
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Not Only Rewards But Also Constraints: Applications on Legged Robot Locomotion IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Yunho Kim, Hyunsik Oh, Jeonghyun Lee, Jinhyeok Choi, Gwanghyeon Ji, Moonkyu Jung, Donghoon Youm, Jemin Hwangbo
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Safe set-based trajectory planning for robotic manipulators IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Ryan McGovern, Nikolaos Athanasopoulos, Seán McLoone
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Dynamic Adaptive Dynamic Window Approach IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Matej Dobrevski, Danijel Skočaj
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Autonomous Drone Racing: A Survey IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Drew Hanover, Antonio Loquercio, Leonard Bauersfeld, Angel Romero, Robert Penicka, Yunlong Song, Giovanni Cioffi, Elia Kaufmann, Davide Scaramuzza
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Towards Robust Robot 3D Perception in Urban Environments: The UT Campus Object Dataset IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-05-14 Arthur Zhang, Chaitanya Eranki, Christina Zhang, Ji-Hwan Park, Raymond Hong, Pranav Kalyani, Lochana Kalyanaraman, Arsh Gamare, Arnav Bagad, Maria Esteva, Joydeep Biswas
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Distributed Control of Unmanned Marine Vehicles for Target Circumnavigation in Communication-Denied Environments IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-14 Zhiyu Yan, Huarong Zheng, Zixiang Jiang, Wen Xu
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SGS-Planner: A Skeleton-Guided Spatiotemporal Motion Planner for Flight in Constrained Space IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-14 Tianyi Li, Shiyong Zhang, Xuebo Zhang, Qianli Dong, Junsheng Huang
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A Novel Asymmetric Multi-Magnetic-Circuit Variable Flux Memory Machine With Magnetic-Field-Shifting Effect for Electric Vehicle Applications IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-14 Wei Liu, Chi Zhang, Xindong Shu, Jinhua Chen, Hui Yang
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Stabilization Controller Design of Flapping Wing Aircraft Considering the Unique Periodic Characteristics IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-14 Liang Wang, Wuyao Jiang, Longfei Zhao, Zongxia Jiao
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A Pneumatic-Actuated Flexible Robotic Arm With Rigid Backbone for High-Precision and Safe Manipulation IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Xuanyi Zhou, Changqu Wu, Shibo Cai, Guanjun Bao
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Design and Control of the Rotor-Assisted Planar Folding-Leg Robot KOU IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Xianwu Zeng, Guoteng Zhang, Xin Ma, Anhuan Xie, Yibin Li
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HyExo: A Novel Quasi-Passive Hydraulic Exoskeleton for Load-Carrying Augmentation IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Wu Fan, Zhe Dai, Bin Zhang, Long He, Min Pan, Jingang Yi, Tao Liu
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Development and Control of a Dual-Mode Magnetic Intravascular Ultrasound Robot for Imaging in Tortuous Blood Vessels IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Zhengxin Yang, Lihao Liu, Xinze Li, Jiaqi Li, Yang Jiao, Yaoyao Cui
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Barrier Lyapunov Function-Based Fuzzy Adaptive Admittance Control of an Upper Limb Exoskeleton Using RBFNN Compensation IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Qingcong Wu, Zhijie Wang, Ying Chen, Hongtao Wu
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A Bioinspired Paddle-Wheeled Leg Amphibious Robot With Environment-Adaptive Autonomously IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 He Zhang, Yue Zhu, Jiahui Yang, Chen Yang, Jie Zhao
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Compensation Modulation for Tracking Accuracy in Free Motion and Compliance During Interaction IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Dongwoo Ko, Donghyeon Lee, Woongyong Lee, Keehoon Kim, Wan Kyun Chung
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Establishment and Application of a Semianalytical Model of Ultrasonic Power Transfer IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Jingpin Jiao, Zhiyan Qiao, Boya Liu, Jinyu Yang, Xiang Gao
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Modeling and Torque Control Against Rate-Dependent Hysteresis of a Magnetorheological Fluid Dual Clutch in an Electric Vehicle Transmission System IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-13 Jin Zhao, Lei Deng, Donghong Ning, Huan Zhang, Shuaishuai Sun, Weihua Li, Haiping Du
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On population-based structural health monitoring for bridges: Comparing similarity metrics and dynamic responses between sets of bridges Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-09 Andrew Bunce, Daniel S. Brennan, Alan Ferguson, Connor O'Higgins, Su Taylor, Elizabeth J Cross, Keith Worden, James Brownjohn, David Hester
Bridges are valuable infrastructure assets that are challenging and expensive to maintain. State-of-the-art data-based bridge SHM solutions look to use bridge response data for condition assessment and damage detection. Data-based SHM methods can be limited in their application as they require large datasets to train models effectively, and most bridges lack the available data for the approaches to
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Transmissibility-based operational modal analysis: A unified scheme and uncertainty quantification Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-09 Jie Kang, Jiabao Sun, Jie Luo, Xiaoteng Liu
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MTGrasp: Multiscale 6-DoF Robotic Grasp Detection IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-09 Sheng Yu, Di-Hua Zhai, Yuanqing Xia
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Topology optimization of AISI 4140 steel with surface texture filled by multi-solid lubricants for enhancing tribological properties Friction (IF 6.8) Pub Date : 2024-05-07 Qipeng Huang, Chaohua Wu, Xiaoliang Shi, Kaipeng Zhang
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Anisotropic tribology and electrification properties of sliding-mode triboelectric nanogenerator with groove textures Friction (IF 6.8) Pub Date : 2024-05-07 Weixu Yang, Jieyang Wang, Xiaoli Wang, Ping Chen
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High-speed bearing diagnostics: Observations from the Surveillance 8 Safran contest data Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-08 Wade A. Smith, Pietro Borghesani, Robert B. Randall, Jérôme Antoni, Mohammed El Badaoui, Zhongxiao Peng
It is usually assumed that faulty bearings produce second-order cyclostationary (CS2) signals, and thus the natural process for their diagnostic analysis involves first the removal of first-order cyclostationary (CS1) components, such as from gears, followed by amplitude demodulation of an ‘informative’ frequency band, and subsequent envelope analysis, in which the spectrum of the (squared) envelope
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Time series diffusion method: A denoising diffusion probabilistic model for vibration signal generation Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-08 Haiming Yi, Lei Hou, Yuhong Jin, Nasser A. Saeed, Ali Kandil, Hao Duan
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Identification of linear flat outputs using neural networks—Examples of two-degree-of-freedom underactuated mechanical systems Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-08 Shangjie Frank Ma, Anni Zhao, Jian-Qiao Sun
This paper proposes a neural networks-based approach of finding flat output of linearized underactuated mechanical systems (UMS). Given that differential flatness and controllability are equivalent for linear systems, the problem is equivalent to finding the Brunovsky canonical form of linearized UMSs. We use a two degree-of-freedom (2DOF) system to illustrate the theoretical development. The proposed
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Dissipative Leaderless Formation via Nonfragile Memory Sampled-Data Control for Unmanned Surface Vehicles With Switching Topologies IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-08 Xiangli Jiang, Guihua Xia
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Dynamic error prediction and link strain feedback control for a novel heavy load multi-DOF envelope forming machine Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-07 Fangyan Zheng, Xinghui Han, Lin Hua, Wuhao Zhuang, Bo Huang
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Blade Profile Reconstruction via Multiview Registration Based on Bidirectional Correspondence and Global Distance Weight IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-07 Jie Dong, Zongping Wang, Luofeng Xie, Guofu Yin
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Model-Data Hybrid Driven Control of Hydraulic Euler–Lagrange Systems IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-07 Zhikai Yao, Xianglong Liang, Shuping Wang, Jianyong Yao
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Coupling effect of machine tool dynamic characteristics and cutting conditions on the cutting process vibration and high-speed micro-planing surface mid-frequency waviness Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-06 Lizi Qi, Min Zhu, Qiang Gao, Yabo Zhang, Guoyu Fu, Qi Cui, Siyu Gao, Wenyuan Wei, Lexiang Wang, Lihua Lu
In addition to the dynamic characteristics of the machine tool, cutting conditions significantly influences the vibration of the cutting system and mid-frequency waviness of the workpiece surface in ultra-precision machining (UPM). In this work, the effects of cutting conditions on machining vibration and surface waviness were investigated by high-speed micro-planning experiments. The origin of vibration
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Basis pursuit set selection for nonlinear underconstrained problems: An application to damage characterization Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-06 Dionisio Bernal, Martin D. Ulriksen
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An experimental approach to multi-input multi-output nonlinear active vibration control of a clamped sandwich beam Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-06 Celia Hameury, Giovanni Ferrari, Giulio Franchini, Marco Amabili
Large amplitude vibrations are often associated with geometric nonlinearity. These nonlinear systems are usually controlled using linear controllers, such as positive position feedback (PPF). Nonlinear control has also often been limited to single-input single-output (SISO) architectures. The present study develops a nonlinear PPF controller implemented with both a SISO and a multiple-input multiple-output
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Iterative improvement in tacholess speed estimation using instantaneous error estimation for machine condition monitoring in variable speed Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-06 Dikang Peng, Wade A. Smith, Robert B. Randall, Ke Feng, Zhongxiao Peng, Wei Teng, Yibing Liu
Knowing the instantaneous angular speed (IAS) is crucial for monitoring the condition of variable speed rotating machinery. Thanks to advantages such as cost-saving, simplicity, and reduced installation difficulties, tacholess speed estimation (TSE) methods, based on the vibration signal itself, have attracted increasing attention in recent years. The major problem limiting the use of TSE methods in
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Spring-like behavior of cementitious composite enabled by auxetic hyperelastic frame Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-05-06 Yading Xu, Zhaozheng Meng, Rowin J.M. Bol, Branko Šavija
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Leveraging digital twin into dynamic production scheduling: A review Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-05-04 Nada Ouahabi, Ahmed Chebak, Oulaid Kamach, Oussama Laayati, Mourad Zegrari
The digital twin is an emerging technology that enhances industrial digitalization, as it establishes a dynamic virtual model that emulates a specific phenomenon of the corresponding physical system, thus imparting added value in many manufacturing activities. Production scheduling is one of the manufacturing activities that can fulfill step-improvements from the digital twin. However, modest endeavors
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M-band wavelet network for machine anomaly detection from a frequency perspective Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-04 Zuogang Shang, Zhibin Zhao, Ruqiang Yan, Xuefeng Chen
The autoencoder (AE) is widely utilized in deep anomaly detection, but it lacks explainability due to the complexity of nonlinear mapping. One approach to address this issue is incorporating wavelet theory, which shares similarities in decomposition and reconstruction procedures. However, the perfect reconstruction property of wavelet theory conflicts with AE-based anomaly detection. To tackle this
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Robustness analysis and experimental validation of a deep neural network for acoustic source imaging Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-04 Qing Li, Elias J.G. Arcondoulis, Sheng Wei, Pengwei Xu, Yu Liu
Deep Neural Network (DNN) models offer an attractive alternative to existing acoustic source imaging techniques, such as acoustic beamforming, due to their ever-growing potential with increasing computational power. Source resolution of acoustic beamforming methods is limited at lower frequencies and their source maps may possess sidelobes at higher frequencies. However, acoustic beamforming methods
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Weight extracting transform for instantaneous frequency estimation and signal reconstruction Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-04 Cuiwentong Xu, Yuhe Liao
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A Gaussian-process assisted model-form error estimation in multiple-degrees-of-freedom systems Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-04 Sahil Kashyap, Timothy J. Rogers, Rajdip Nayek
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A patterned vibrotactile method using envelope modulation with high resolution and low perceptual frequency Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-04 Hangyu Li, Zewei Hou, Jijing Huang, Li Zhou, Yongmao Pei
The virtual haptics is a crucial aspect of immersive virtual reality, extending the traditional experiences of sight and hearing. The vibration can provide direct normal vibration and friction reduction, making it a promising method to realize virtual haptics. However, the optimum perceptual threshold of skin for vibration is 100 Hz to 500 Hz, resulting in a too low vibrotactile resolution. The conflict
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Impact behavior of periodic, stochastic, and anisotropic minimal surface-lattice sandwich structures Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-05-04 Chukwugozie J. Ejeh, Imad Barsoum, Rashid K. Abu Al-Rub
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Composite continuum robots: Accurate modeling and model reduction Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-05-04 Gang Zhang, Jing Su, Fuxin Du, Xingyao Zhang, Yibin Li, Rui Song
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Machine vision and novel attention mechanism TCN for enhanced prediction of future deposition height in directed energy deposition Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-03 Miao Yu, Lida Zhu, Jinsheng Ning, Zhichao Yang, Zongze Jiang, Lu Xu, Yiqi Wang, Guiru Meng, Yiming Huang
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Feedback control system for vibration construction of fresh concrete Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-03 Jiajie Li, Zhenghong Tian, Yuanshan Ma, Lujia Li, Weihao Shen, Jiaxing Zhao
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Constructing nonlinear data-driven models from pitching wing experiments using multisine excitation signals Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-03 M.F. Siddiqui, P.Z. Csurcsia, T. De Troyer, M.C. Runacres
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A mechanics-informed neural network method for structural modal identification Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-03 Yuequan Bao, Dawei Liu, Hui Li
Modal identification is one of the core topics within the realm of structural health monitoring (SHM). In this study, we summarize four modal mechanical properties and propose a mechanics-informed neural network (MINN) method for structural modal identification. The proposed MINN method incorporates the sparsity of the data in the time–frequency domain and cross-correlation minimization in the time
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Smooth least absolute deviation estimators for outlier-proof identification Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-03 Janusz Kozłowski, Zdzisław Kowalczuk
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Cavitation morphology and erosion on hydrofoil with slits Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-05-03 Ning Qiu, Pei Xu, Han Zhu, Wenjie Zhou, Doubin Xun, Minwei Li, Bangxiang Che
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High temperature and mesostructure effect on aluminum foam compression responses Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-05-03 Sihang Xiao, Zeang Zhao, Shengyu Duan, Yanfei Chen, Yaoqi Wang, Panding Wang, Hongshuai Lei
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Dynamic modeling and analysis considering friction-wear coupling of gear system Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-05-03 Kairan Zhang, Rulin Shen, Zehua Hu, Jinyuan Tang, Zhou Sun, Aodong Ning, Shuhan Yang
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GPNet: A Deep Learning Guided Projectiles Navigation Framework IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-05-03 Jinwen Wang, Zhihong Deng, Kai Shen, Yuming Bo
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Theoretical and experimental study of a stable state adjustable nonlinear energy sink Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-02 You-Cheng Zeng, Hu Ding, Jin-Chen Ji, Li-Qun Chen
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An improved LuGre friction model and its parameter identification of structural interface in thermal environment Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-05-02 Tichang Jia, Jie Liu, Yunzhao Wang, Chaofeng Li, Haoyan Zhang
In this paper, an improved LuGre model was established based on the micro-convex assumption, Hertz contact theory, and thermal conditions. The displacement-tangential force and velocity-tangential force hysteresis curves under different temperature conditions were obtained by the dry friction testing experiment. Further, this paper constructed an objective function for the proposed friction model,