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PH-Gauss-Lobatto Reduced-Order-Model for shape control of Soft-Continuum Manipulators IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-19 Steeve Mbakop, Gilles Tagne, Tanguy Chevillon, Sergey V. Drakunov, Rochdi Merzouki
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Provably Feasible Semi-Infinite Program Under Collision Constraints via Subdivision IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-19 Duo Zhang, Chen Liang, Xifeng Gao, Kui Wu, Zherong Pan
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Gesture-Based Steering Framework for Redundant Soft Robots IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-19 Jiewen Lai, Bo Lu, Kaicheng Huang, Henry K. Chu
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DexiTac: Soft Dexterous Tactile Gripping IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-19 Chenghua Lu, Kailuan Tang, Max Yang, Tianqi Yue, Haoran Li, Nathan F. Lepora
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A New Active-Thrust Tool Spindle and Integrated Force Measurement Technique for Robotic Drilling IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-19 Matthew O. T. Cole, Pongsiri Kuresangsai, Pinyo Puangmali, Theeraphong Wongratanaphisan, Chakkapong Chamroon
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A Novel Articulated Manipulator Design With Mechanism Doublet IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-19 Yunjiang Wang, Keji Yang, Haoran Jin
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Shape Servoing of Deformable Objects Using Model Estimation and Barrier Lyapunov Function IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Vrithik Raj Guthikonda, Ashwin P. Dani
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Root Canal Preparation Robot Based on Guiding Strategy for Safe Remote Therapy: System Design and Feasibility Study (2023) IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Dianhao Wu, Jingang Jiang, Jie Pan, Kun Qian, Zhonghao Xue
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Toward Highly Sensitive Ocean-Wave Monitoring With Sliding-Triboelectric Effect: Modeling, Experimental Validation, and Demonstration IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Yan Peng, Heming Liu, Hengyu Guo, Ying Gong, Fan Shen, Qin Zhang, Zhongjie Li
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Embedded Model Predictive Control for Torque Distribution Optimization of Electric Vehicles IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Xiao Hu, Hong Chen, Xun Gong, Yunfeng Hu, Ping Wang
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Confutation of the “Counterexample to Passivity Preservation for Variable Impedance Control of Compliant Robots” IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-18 Emmanouil Spyrakos-Papastavridis, Peter R. N. Childs, Jian S. Dai
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Real-world humanoid locomotion with reinforcement learning Sci. Robot. (IF 25.0) Pub Date : 2024-04-17 Ilija Radosavovic, Tete Xiao, Bike Zhang, Trevor Darrell, Jitendra Malik, Koushil Sreenath
Humanoid robots that can autonomously operate in diverse environments have the potential to help address labor shortages in factories, assist elderly at home, and colonize new planets. Although classical controllers for humanoid robots have shown impressive results in a number of settings, they are challenging to generalize and adapt to new environments. Here, we present a fully learning-based approach
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Locomotion as manipulation with ReachBot Sci. Robot. (IF 25.0) Pub Date : 2024-04-17 Tony G. Chen, Stephanie Newdick, Julia Di, Carlo Bosio, Nitin Ongole, Mathieu Lapôtre, Marco Pavone, Mark R. Cutkosky
Caves and lava tubes on the Moon and Mars are sites of geological and astrobiological interest but consist of terrain that is inaccessible with traditional robot locomotion. To support the exploration of these sites, we present ReachBot, a robot that uses extendable booms as appendages to manipulate itself with respect to irregular rock surfaces. The booms terminate in grippers equipped with microspines
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Constitutive model of metal rubber based on modified Iwan model under quasi-static compression and random vibration Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-17 Hang Yang, Xiangyu Chen, Chunwang He, Qiwen Zeng, Mingyong Wu, Gang Chen
Metal rubber has been widely applied in the fields of structural vibration reduction and impact protection, due to its excellent mechanical properties. However, an accurate constitutive model of metal rubber to characterize its complex nonlinear mechanical behavior is still lacking. In this paper, a new constitutive model of metal rubber based on the Iwan model (parallel spring-slider model) is proposed
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Semi-analytical modeling of thermo-metallurgical-induced wave propagation for titanium alloy parts in laser powder bed fusion Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-17 Zhi-Jian Li, Hong-Liang Dai, Yuan Yao, Yu-Song Li, Peng Xiao, Wei-Feng Luo
Thermal-induced wave propagation frequently occurs during the laser powder bed fusion (LPBF) process due to the laser-material interaction. However, the effect of thermal variation and the resulting metallurgical phase transition on the wave propagation characteristics remains unclear. This paper presents a semi-analytical modeling of thermo-metallurgical-induced wave propagation in the LPBF of titanium
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Domain distribution variation learning via adversarial adaption for helicopter transmission system fault diagnosis Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-17 Kuangchi Sun, Aijun Yin, Shiao Lu
Deep Learning-based fault diagnosis has aroused widespread attention in machine fault diagnosis. Helicopter is an important transport for its special purpose. How to ensure its normal operation is a challenging task. Nevertheless, the existing research mainly focuses on single bearing or gear of gearbox, while there are few reports about intelligent fault diagnosis of bearing and shaft in helicopter
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A novel weighted sparsity index based on multichannel fused graph spectra for machine health monitoring Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-17 Kaifan Zhang, Jing Yuan, Huiming Jiang, Qian Zhao
Constructing validated health indices (HIs) is main strategy for machine health monitoring. Multichannel signals always contain richer condition information of machines than single channel signals, resulting in promising HIs constructed from multichannel signals. To fully utilize multichannel signals to construct HIs, adopting appropriate multichannel fusion strategies and extracting useful feature
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ADSOC: A novel automatic and deterministic shaft orbit classification framework for large rotating machinery Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-17 Cheng Hao Jin, Sheng Guo
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Wireless strain-field monitoring system for motion recognition via direct-ink-writing sensor-array Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-17 Xin Zhang, Peishi Yu, Yin Tao, Guotao Liu, Maoyang Li, Yuxiang Zhao, Junhua Zhao
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Theoretical analysis and potential engineering application of an energy harvester Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-17 Haitao Xu, Shengxi Zhou
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IEEE/ASME Transactions on Mechatronics Publication Information IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-17
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Cost-Effective Estimation of Vehicle Lateral Tire-Road Forces and Sideslip Angle via Nonlinear Sampled-Data Observers: Theory and Experiments IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-17 Anh-Tu Nguyen, Luciano Frezzatto, Thierry-Marie Guerra, Sébastien Delprat
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A Novel Dual-Redundancy More-Electric Braking System and Regulation Strategy Based on on/off Valves IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-17 Renjie Li, Weizhi Qiao, Xiaochao Liu, Hongtao Jin, Xiang Gao, Dingbo Li, Shuai Wu, Yaoxing Shang, Zongxia Jiao
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Implementing a Flat Bottom Driving Technique for Switched Reluctance Motors Utilizing a Full Bridge Inverter IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-17 Haitao Sun, Yibo Zhang, Jingyuan Liu, Chunyan Ma, Yan Chen
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Rigid and Flexible Structures Coupled System Study and Enhanced Vision-Aided Control for a Versatile Cable Winding Robot IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-17 Xu Jiang, Jun Zhang, Yaning Zhang, Aiguo Song, Bo Zhu
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TechRxiv: Share Your Preprint Research with the World! IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-17
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IEEE/ASME Transactions on Mechatronics Information for Authors IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-17
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Higher-order parametrized correction based contact performance forecasting model for spiral bevel gears Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-16 Kaibin Rong, Biyun Song, Jianxing Wang, Xu Qiu, Guan Zhang, Shifeng Rong, Jinyuan Tang, Han Ding
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Fault diagnosis of rolling bearings under variable conditions based on unsupervised domain adaptation method Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-16 Jianhua Zhong, Cong Lin, Yang Gao, Jianfeng Zhong, Shuncong Zhong
The paper proposes an unsupervised deep convolutional dynamic joint distribution domain adaptive network model for the problem of bearing fault diagnosis under variable conditions, which involves missing labeling of target domain data and large differences in the distribution of source and target domain data. The model consists of the following steps: (1) converting the original vibration signal of
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A novel phase-based video motion magnification method for non-contact measurement of micro-amplitude vibration Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-16 Yuanzhao Yang, Qi Jiang
Vibration analysis is crucial for structural health monitoring and fault diagnosis. Conventional contact sensors present limitations, prompting the adoption of non-contact methods such as laser Doppler vibration measurements and computer vision-based techniques. Among these, phase-based video motion magnification has gained prominence for its high resolution and ability to capture comprehensive vibration
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Phase resonance testing of highly flexible structures: Measurement of conservative nonlinear modes and nonlinear damping identification Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-16 Marielle Debeurre, Simon Benacchio, Aurélien Grolet, Clément Grenat, Christophe Giraud-Audine, Olivier Thomas
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Inverse surrogate model for deterministic structural model updating based on random forest regression Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-16 S. Kamali, S. Mariani, M.A. Hadianfard, A. Marzani
This article presents a novel method for deterministic finite element model updating that is based on an “inverse surrogate model”. The latter is a regression model that uses structural responses as independent variables and structural properties as dependent ones. Such regressor is trained on structural responses using a finite element model having in input the structural properties to be updated
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Finite word-length optimal simulation for high-dimensional dynamical systems: Examples of tensegrity structures Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-16 Yuling Shen, Muhao Chen, Robert E. Skelton
This paper presents a model reduction technique to determine the optimal simulation model for high-dimensional systems within the confines of finite word-length computing. Such an optimal model is characterized by having minimal output error covariances in computational simulations when compared with the outputs of the physics model in reality. The round-off noise models for both floating- and fixed-point
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The spatial Fourier summation of corrugated beams and their band gap formation Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-16 P.B. Lamas, R. Nicoletti
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PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-16 Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory S. Chirikjian
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Development and Characteristics of a Highly Biomimetic Robotic Shoulder Inspired by Musculoskeletal Mechanical Intelligence IEEE Trans. Robot. (IF 7.8) Pub Date : 2024-04-16 Haosen Yang, Guowu Wei, Lei Ren
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Gas-particle-heat dynamic coupling simulation in directed energy deposition Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-16 Lichao Zhang, Jingyuan Chen, Xiang Gao, Fangyong Niu, Zhao Zhang
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Modular approximate discrete modeling for blisk system with triple closed-loop equivalence method Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-16 Minghui Yao, Renduo Song, Yan Niu, Qiliang Wu, Yuejuan Yang, Li Ma
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A new thermal vibration mechanical shot peening coupling strengthening method Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-16 Nian-Pu Xue, Qiong Wu, Han-Jun Gao, Zi-Liang Ran, Xin Li, Jian Guo, Yi-Du Zhang
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Two-dimensional electromechanical-coupling modeling for out-of-plane bending vibration of cross-type beams Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-16 Shun Zhang, Liang Wang, Zhenhua Zhao, Haoren Feng, Chunsheng Zhao
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Embedded piezoelectric actuation method for enhanced solar wings vibration control Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-16 Rui Qi, Liang Wang, Xubin Zhou, Jiuming Xue, Jiamei Jin, Lusheng Yuan, Ziyu Shen, Guotao Deng
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Cutting vibration characteristics and mechanisms in the end milling of superalloy honeycomb core with ice fixation clamping Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-15 Shaowei Jiang, Haibo Liu, Yueshuai Zuo, Daomian Sun, Yuebing Yang, Di Zhao, Kuo Liu, Yongqing Wang
Superalloy honeycomb cores possess excellent properties such as high strength, high stiffness, heat insulation, and vibration isolation, and are widely used in aerospace, and defense industries. Honeycomb materials, due to their thin-walled porous structure, anisotropy, and weak in-plane rigidity, exhibit complex and significant cutting vibration under the intermittent impact of the tool, which differs
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DP2Net: A discontinuous physical property-constrained single-source domain generalization network for tool wear state recognition Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-15 Xuwei Lai, Kai Zhang, Qing Zheng, Minghang Zhao, Guofu Ding, Baoping Tang, Zisheng Li
Cross-conditions tool wear monitoring has a wide application prospect in manufacturing. However, the data distribution discrepancies caused by the inconsistency of process elements restrict the generalization of models under cross-conditions or even similar conditions. The existing methods based on diversity enhancement make it difficult to effectively establish the correlation between the source domain
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Physics-Informed deep Autoencoder for fault detection in New-Design systems Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-15 Chenyang Lai, Piero Baraldi, Enrico Zio
The industrial application of data-driven methods for fault detection of new-design systems is limited by the inevitable scarcity of real data. Physics-Informed Neural Networks (PINNs) can mitigate this problem by integrating data and physical knowledge. In this work, we develop a novel fault detection method that combines physics-based simulations for data generation with a Physics-Informed Deep Autoencoder
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Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-15 André Tavares, Emilio Di Lorenzo, Bram Cornelis, Bart Peeters, Wim Desmet, Konstantinos Gryllias
Composite materials are widely used across major industries such as the automotive, aerospace and wind power, due to their excellent mechanical properties. A strong effort is thus put into developing innovative damage detection methodologies, for which Non-Destructive Testing (NDT) techniques can play a vital role as advanced measurement methods. One such technique is Laser Doppler Vibrometry which
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A relationship between fatigue damage estimation under multi-axis and single-axis random vibration Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-15 Enrico Proner, Emiliano Mucchi, Roberto Tovo
Random vibration testing is traditionally performed by means of single-axis testing. However, real operational environment are in general characterized by multi-axis vibration. As a consequence, single-axis testing is incapable of reproducing the actual damaging process of a component in the laboratory. In this work the damage inflicted to a cantilever beam by multi-axis and sequential single-axis
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Study of the Point Method for fretting fatigue life prediction Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-15 Haojie Men, Wenlong Zhou, Hao Huang, Minjuan Wang, Xuesong Fu
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Phenomenological modelling of cycling-induced damage in the metal-ion battery electrode Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-15 Yong Li, Kai Zhang, Mi Hou, Fuqian Yang
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Cooperative competition between melt-phase and void during micro-spallation and recompression Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-15 Haonan Sui, Xinxin Wang, Bao Wu, Qiang Bao, Fengguo Zhang, Haiquan Sun, Anmin He, Pei Wang
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Transverse vibration of plate with multiple curved through cracks Int. J. Mech. Sci. (IF 7.3) Pub Date : 2024-04-15 Yanhui Niu, Yue Chen, Tiantong Zhao, Guoyong Jin, Gang Zhang, Yanrui Fan
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Modeling and Rotation Control of Servo System With Flexible Structure Based on New Deformation Description IEEE ASME Trans. Mechatron. (IF 6.4) Pub Date : 2024-04-15 Meng Yin, Dongyang Shang, Yue Ma, Wujing Cao, Wanfeng Shang, Xinyu Wu
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An improved near-field weighted subspace fitting algorithm based on niche particle swarm optimization for ultrasonic guided wave multi-damage localization Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-14 Xin Fang, Guijie Liu, Honghui Wang, Weilei Mu, Yingchun Xie, Xiaojie Tian, Gongbo Li, Guanghao Li
The ultrasonic guided wave-based method for multi-damage localization has been widely proposed. However, the precision of this method is directly correlated with both the quantity of sensors employed and the intricacy of the implementation process. This relationship poses a challenge in striking a balance between the accuracy and efficiency. To improve the computational efficiency under the premise
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Augmented reality spatial programming paradigm applied to end-user robot programming Robot. Comput.-Integr. Manuf. (IF 10.4) Pub Date : 2024-04-13 Michal Kapinus, Vítězslav Beran, Zdeněk Materna, Daniel Bambušek
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Improved hierarchical Bayesian modeling framework with arbitrary polynomial chaos for probabilistic model updating Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-13 Qiang Li, Xiuli Du, Pinghe Ni, Qiang Han, Kun Xu, Yulei Bai
Bayesian finite element model updating techniques have found widespread application in the structural health monitoring. The conventional Bayesian modeling framework (CBMF) identifies the posterior distribution of structural parameters using data from a single experiment. However, structural parameters exhibit variability due to changes in environmental or experimental conditions, an aspect overlooked
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On the strain-sensing capabilities of a novel all-solid-state sodium-based-electrolyte battery under vibration loads Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-13 Bruno Guilherme Christoff, Denys Marques, João Paulo Carmo, Maria Helena Braga, Volnei Tita
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Pipe wall thickness estimation by frequency–wavenumber analysis of circumferential guided waves Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-13 Magnus Wangensteen, Tonni Franke Johansen, Ali Fatemi, Erlend Magnus Viggen
Ultrasonic guided waves in pipes propagating in the circumferential direction carry information about the thickness of the pipe wall. This study proposes a method for estimating the pipe wall thickness based on measurements from circumferentially distributed sensors and a set of pre-computed theoretical dispersion curves. The recorded data are Fourier transformed into a frequency–wavenumber representation
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FW-UAV fault diagnosis based on knowledge complementary network under small sample Mech. Syst. Signal Process. (IF 8.4) Pub Date : 2024-04-12 Yizong Zhang, Shaobo Li, Ansi Zhang, Xue An
Fixed Wing Unmanned Aerial Vehicles (FW-UAVs) are prone to faults when performing a variety of tasks, which can lead to mission failure and even pose a safety risk. These faults can be recorded by mission-specific time-series flight data, but are very limited. Traditional methods are usually difficult to process these data, which poses a huge challenge to FW-UAV fault diagnosis (FD). To address this