Analysis of PMSM Short-Circuit Detection Systems Using Transfer Learning of Deep Convolutional Networks by Skowron Maciej

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On joint efficiency of composite anisotropic plate rigidly fixed along outside edges by A. G. Akopyan

“…Using the classical theory of bending of an anisotropic plate in the space of physical and geometric parameters, hypersurface equations are obtained that define low-stressed zones for the contact surface edge of a cylindrical orthotropic composite plate.Research Results. …”
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Three-dimensional runout characterisation for rotationally symmetric components by Christopher G. Tompkins, Luke D. Todhunter, Harald Gottmann, Christoph Rettig, Robert Schmitt, Jochen Wacker, Samanta Piano

“…This evaluation technique produces a single-valued quantification of the deviation of the instrument outputs compared to the input parameters, decoupled from the errors on the instrument itself.…”
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Robust and Adaptive Tuning of PI Current Controllers for Grid-Forming Inverters by Florian Reisner, George Weiss

“…While for grid following (GFL) inverters, this problem has been well researched in the past years, and various solutions have been proposed, for GFM inverters, the adequate tuning of the virtual impedances and the current controller parameters has yet to be fully understood. In this paper we investigate the influence of the grid impedance, and various control parameters of a GFM inverter with PI current controllers and virtual impedances, and give recommendations for the tuning of all the parameters to achieve stability in a wide range of grid conditions. …”
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Low‐frequency oscillation damping strategy for power system based on virtual dual‐input power system stabilizer by Shengyang Lu, Meng Wu, Jia Liu, Haixin Wang, Luyu Yang, Qingshan Liu, Junyou Yang, Yuqiu Sui

“…The structure of the virtual dual‐input power system stabilizer is provided, and the phase compensation method is used to optimize the parameters of the virtual dual‐input power system stabilizer. …”
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Enhanced glaucoma detection using U-Net and U-Net+ architectures using deep learning techniques by B.P. Pradeep kumar, Pramod K.B. Rangaiah, Robin Augustine

“…Capsule Networks were utilized for feature extraction and Extreme Learning Machines (ELM) for diagnostic classification. Three datasets were evaluated, including DRISHTI-GS, DRIONS-DB, and HRF, utilizing important parameters such as accuracy, sensitivity, and specificity. …”
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Geometrical Similarities Between Metallic Real and Computationally Simulated Grain Structures (Equiaxed Polygonal Grains) by Adán Ramírez-López, Juan Alberto Alcántara-Cárdenas, Ángel de Jesús Morales-Ramírez, Juliana Guadalupe Rosado-Carrasco

“…Metallic materials are formed with grain structures which are naturally formed during solidification or modified after any manufacturing process, such as rolling, cutting, machining, welding, etc. Grains with different sizes and geometrical morphologies have a strong influence on the micro- and macro properties of metallic materials. …”
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Strength Analysis of a Ducted Axial Fan Blade by Marek ROŚKOWICZ, Ryszard CHACHURSKI, Sławomir TKACZUK, Piotr LESZCZYŃSKI, Maciej MAJCHER, Łukasz OMEN

“…Ducted axial fans are a large group of fluid-flow machines. The analysis was designed to determine the causes of cyclic failures of a ventilation unit. …”
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A Hybrid Deep Learning and Improved SVM Framework for Real-Time Railroad Construction Personnel Detection with Multi-Scale Feature Optimization by Jianqiu Chen, Huan Xiong, Shixuan Zhou, Xiang Wang, Benxiao Lou, Longtang Ning, Qingwei Hu, Yang Tang, Guobin Gu

“…This paper proposes a railway worker detection method based on improved support vector machines (ISVM), while using non-local mean noise reduction and histogram equalisation pre-processing techniques to optimise image quality to improve detection efficiency and accuracy. …”
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Analysisof the Vibration Reduction Characteristics of Boring Bar with A Variable Mass Dynamic Vibration Absorber by LIU Qiang, LIU Xian-li, WU Shi, YANG Lin, LI Rong-yi, YANG Hao

“…Vibration is easy to be occurred，and the vibration affects the machining precision and surface quality. When the vibration is serious，it may lead to scrap. …”
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Developing a numerical framework to study the cavitation and non-cavitation behaviour of a centrifugal pump inducer by Seyed Ehsan Hosseini, Amin Deyranlou, Pouyan Talebizadehsardari, Hayder I. Mohammed, Amir Keshmiri

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Error Analysis and Compensation of 3‒PTT Parallel Robot by CHEN Mingfang, LIANG Hongjian, WEI Songpo, HE Chaoyin

“…Thus, the influence of the coordinate error and the link length error on the pose accuracy of the mobile platform is analyzed.Results and DiscussionsThe results of error analysis show that the length error of the link and the <italic>z</italic>‒coordinate error of the hinge point of the static platform have significant effects on the pose accuracy of the mobile platform (the average position error of the mobile platform in the three degrees of freedom directions is more than 1 mm), and appropriate attention is paid to the machining and assembly of robot parts. In addition, in order to overcome the shortcomings of traditional methods mentioned above, i.e., excessive error parameters, error accumulation, and difficulty in obtaining the optimal solution of statically indeterminate equations, an inverse kinematics error compensation algorithm is proposed in this study. …”
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Environmentally friendly chemical–magnetorheological finishing method for Ti–6Al–4V biological material based on Fe3O4@SiO2, oxaloacetate acid and H2O2 by Le Anh Duc, Vu Minh Yen, Nguyen Duy Trinh

“…Titanium alloy is extensively utilised in various advanced equipment across multiple industries, especially in biological implantable devices. The surface machining of such devices is required to provide a finished surface with high precision and gloss. …”
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Prediction model for the selection of patients with glioma to proton therapy by Jesper Folsted Kallehauge, Siri Grondahl, Camilla Skinnerup Byskov, Morten Høyer, Slavka Lukacova

“…The aim of this retrospective study was to identify clinical parameters associated with referral to PT and build a prediction model. …”
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ASPECTS REGARDING PRODUCTION SCHEDULING BY USING ORDERING AND LOTTING MODELS by Grațian-Daniel GOLOȘIE

“…Pinedo, we introduced four distinct jobs, each characterized by specific parameters, such as processing times at machines and due dates. …”
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Experimental study on removal of phenol formaldehyde resin coating from the abrasive disc and preparation of abrasive disc for polishing application by P. Sabarinathan, V. E. Annamalai, K. Vishal, M.S. Nitin, L. Natrayan, Dhinakaran Veeeman, Wubishet Degife Mammo

“…In the automotive and aerospace industry, abrasive products lodge the major portion of the machining applications. Among that, the coated abrasive disc is used for a finishing application. …”
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Effect of watermelon seed flour quantity on the density and expansion ratio of extrudates by Toshkov Nesho, Kodinova Siyka, Simitchiev Apostol, Nikolova Milena, Slavov Alexandar, Bozadjiev Bojidar

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An In-Depth Study of Personalized Anesthesia Management Models in Gastrointestinal Endoscopy Based on Multimodal Deep Learning by Hanqi Shi, Hongyu Wang, Xibing Ding, Zheng Dang

“…Analysis of the patients&#x2019; basic information and physiological parameters during surgery revealed that body mass index (BMI) and age significantly impacted anesthesia management. …”
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Increasing Photovoltaic Systems Efficiency Through the Implementation of Statistical Methods by Daniela-Adriana Sima, Emil Tudor, Lucia-Andreea El-Leathey, Gabriela Cîrciumaru, Mihai-Gabriel Matache

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Optimization of Coating Process from Cermet Powders by Plasma Spraying in Air by V. A. Okovity, F. I. Panteleenko, V. V. Okovity, V. M. Astashinsky

“…The paper presents studies on the optimization of the process of applying coatings from cermet powders with different solid phase contents by plasma spraying in air to restore and harden parts of machines and mechanisms operating under adverse conditions. …”
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