Research on an efficient prediction for deformations of thread connections based on deep transfer learning by Zhao Liu, Zeyu Qi, Hao Lu, Yan Liu, Jintao Fan, Xuefeng Wang, Caishan Liu

“…Abstract Threaded connections are essential components in mechanical assemblies, subjected to complex deformations under various loading conditions (e.g., tension, torque, bending, and shear), influenced by bolt geometry and material properties. …”
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Improved Sliding Mode Active Disturbance Rejection Control for Single-inductance Dual-output Buck Converter by HUANG Jinfeng, ZHOU Jie

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Drilling Optimization by Means of Decision Matrices and VB Tool Applied to Torsional Vibration and MSE Surveillance by Thales Rodrigues Barboza, Andreas Nascimento, Diunay Zuliani Mantegazini, Matthias Reich

“…The exploration of these deep subsurface resources can present several challenges, such as complex lithology to be drilled, high depth to be reached, and considerable rock hardness, among others. …”
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Hybrid Approach of Finite Element Method, Kigring Metamodel, and Multiobjective Genetic Algorithm for Computational Optimization of a Flexure Elbow Joint for Upper-Limb Assistive D... by Duc Nam Nguyen, Thanh-Phong Dao, Ngoc Le Chau, Van Anh Dang

“…It confirms that the proposed hybrid optimization approach has an effectiveness to solve for complex optimization problems.…”
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Enhancing Energy Generation While Mitigating Noise Emissions in Wind Turbines Through Multi‐Objective Optimization: A Deep Reinforcement Learning Approach by Martín Frutos, Oscar A. Marino, David Huergo, Esteban Ferrer

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Optimization of fractional PI controller parameters for enhanced induction motor speed control via indirect field-oriented control by I. I. Alnaib, A. N. Alsammak

“…The primary advantages of this approach include the decoupling of torque and flux characteristics and its straightforward implementation. …”
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Control optimization for permanent magnet synchronous generators in multi-source power systems by LI Lingyun, LIU Weizhi, WANG Yongxiang, LIU Yang

“…This paper presents the design optimization for the control of PMSGs from both strategy and controller perspectives. A novel approach was proposed that incorporates a Lagrangian function based on the principles of maximum torque and minimum loss to solve for the direct-axis and quadrature-axis currents, leading to the creation of a voltage stability control strategy that integrates vector control with efficiency optimization control. …”
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A novel mechanism-guided residual network for accurate modelling of scroll expander under noisy and sparse data conditions by Xiaoshuang Lv, Xin Ma, Wei Peng, Ke Li, Chengdong Li

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Leveraging Variable Frequency Drive Data for Nondestructive Testing and Predictive Maintenance in Industrial Systems by Carl Lee Tolbert

“…However, traditional methods typically rely on external sensors, which can lead to increased costs and added complexity. The current study examined an alternative approach using variable-frequency drive (VFD) data for real-time fault detection and predictive maintenance. …”
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The Development and Characteristics of an In-Wheel Assembly Using a Variable Speed-Reducing Device by Kyeongho Shin, Kyoungjin Ko, Junha Hwang

“…The findings of this study demonstrate that even in in-wheel systems where the application of large and complex transmission devices is challenging, it is possible to simultaneously enhance both maximum torque and top vehicle speed to achieve high-performance vehicle-level driving dynamics. …”
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Discrete Pneumatic‐Tendon‐Coupled Actuators with Interconnected Air Circuit for Untethered Soft Robots by Jiutian Xia, Jie Huang, Shiling Fu, Jingting Qu, Liyan Mo, Yunquan Li, Tao Ren, Yang Yang, Yujia Li, Hao Liu

“…However, current PTCA‐based USRs are limited in versatility and efficiency when executing complex tasks. This research introduces discrete pneumatic‐tendon‐coupled actuators with interconnected air circuit (DPTCAs‐IAC) to address these limitations through two major design approaches: 1) multiple discrete DPTCAs with integrated micro pump, providing additional degrees of freedom and independent motion control while regulating internal pressure without significantly adding weight; and 2) interconnecting multiple DPTCAs through air circuits to facilitate gas flow and enhance efficiency. …”
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Energy Management of Plug-In Hybrid Electric Vehicles for Autonomous Driving in a Following Environment Based on Fuzzy Adaptive PID Control by Jixin Wang, Yujin Zhou

“…Therefore, the energy management model for electric hybrid vehicles designed in this project has the advantages of high energy efficiency, strong robustness, and strong adaptability, providing a new approach to developing the energy management field.…”
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Flow Modeling in Pelton Turbines by an Accurate Eulerian and a Fast Lagrangian Evaluation Method by A. Panagiotopoulos, A. Židonis, G. A. Aggidis, J. S. Anagnostopoulos, D. E. Papantonis

“…In all examined cases the FLS method shows very good accuracy in predicting the hydraulic efficiency of the runner, although the computed flow evolution and the torque curve exhibit some systematic differences from the Eulerian results.…”
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Robust Sliding Mode Control Based on Fractional Order Reaching Law for Rehabilitation Robots by Rim Jallouli-Khlif, Fatma Abdelhedi, Chadia Zayane, Ahmed Said Nouri, Nabil Derbel

“…This study introduces a novel Sliding Mode Control (SMC) system based on a fractional-order reaching law, designed to enhance control performance and robustness. The proposed approach effectively manages the exoskeleton’s dynamic behavior, particularly during the transient regime, by reducing initial torque energy demand during start-up, ensuring precise trajectory tracking, and prioritizing patient safety and comfort. …”
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Nonlinear Adaptive Fuzzy Hybrid Sliding Mode Control Design for Trajectory Tracking of Autonomous Mobile Robots by Yung-Hsiang Chen

“…The control design addresses the inherent complexities of such platforms, which include strong system nonlinearities, significant parametric uncertainties, torque saturation effects, and external disturbances that can adversely affect dynamic performance. …”
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EFD and CFD Characterization of a CLT Propeller by Daniele Bertetta, Stefano Brizzolara, Edward Canepa, Stefano Gaggero, Michele Viviani

“…The numerical/experimental analysis and comparison of results highlight the peculiarities of this kind of propellers, the possibility to increase efficiency and reduce cavitation risk, in order to exploit the design approaches already well proven for conventional propellers also in the case of these unconventional geometries.…”
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Enhanced Robust Control of Induction Motor Using Combined Optimal Model Predictive Control With Super-Twisting Algorithm by REZGUI, S.-E., NEMOUCHI, B.

“…By incorporating OMPC with STA into the speed and currents loops of the IFOC technique, the system gains enhanced robustness and disturbance rejection capabilities, without increasing computational cost making it viable for real-time applications in complex control scenarios. This synergetic approach ensures stable and efficient performance in the face of internal variations (like parameters variation) and external perturbations (variable references and load torque). …”
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Advances in Control Techniques for Rehabilitation Exoskeleton Robots: A Systematic Review by Gazi Mashud, SK Hasan, Nafizul Alam

“…Key control methods, including computed torque and adaptive control, excel in managing complex movements and adapting to diverse patient needs. …”
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Fuel-Saving Postcapture Detumbling by Dual-Arm Space Robot by Qing Zhou, Xiao-Feng Liu, Yuan-Qing Liu, Guo-Ping Cai, Feng Xu

“…This configuration avoids multiaxis coupling and simplifies subsequent stabilization, requiring only unidirectional thruster torque. By reducing the number of required control directions and eliminating complex angular momentum interactions, the subsequent attitude stabilization becomes more fuel-efficient. …”
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Reduced-Order Model for Bearingless PMSMs in Hardware-in-the-Loop by Lucas Selonke Klaas, Rafael F. Simões de Oliveira, Ademir Nied

“…Moreover, uncertainties regarding the motor’s ability to generate suspension and torque often persist even after prototyping, primarily due to the limitations of lumped parameter models in capturing the system’s complex dynamics. …”
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