Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine by FU Qiang, HU Dong, YANG Tongliang, LUO Guoqing, TAN Weimin

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Bearing fault diagnosis method based on improved compressed sensing and deep multi-kernel extreme learning machine by FU Qiang, HU Dong, YANG Tongliang, LUO Guoqing, TAN Weimin

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Control of hybrid electromagnetic bearing and elastic foil gas bearing under deep learning. by Xiangxi Du, Yanhua Sun

“…The hybrid electromagnetic and elastic foil gas bearing is explored based on the radial basis function (RBF) neural network in this study so as to improve its stabilization in work. …”
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Modeling of Tilting-Pad Journal Bearings with Transfer Functions by J. A. Vázquez, L. E. Barrett

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Comparison of functional outcome in fixed bearing versus mobile bearing implant designs in total knee arthroplasty by Sajjad Ali B, Arun Raja C J, Kathiravan Rajendran

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Comparison of functional outcome in fixed bearing versus mobile bearing implant designs in total knee arthroplasty by Sajjad Ali B, Arun Raja C J, Kathiravan Rajendran

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Functionality of Bearings in the Shafts of a Vertical-Axis Wind Turbine by Stanisław Szweda, Grzegorz Głuszek, Marek Szyguła, Wojciech Grzegorzek, Daniel Adamecki, Jarosław Mikuła, Stanisław Mikuła

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Predicting the Ultimate Bearing Capacity of Bolts with an Optimized Function Model by Bin Zheng, Jian Zhang, Tugen Feng, Maosen Cao

“…However, it is expensive to obtain failure stage data from in situ pullout tests to study the ultimate bearing capacity of rebar bolts. In this paper, several function models that are commonly used for predicting the ultimate bearing capacity of bolts are presented. …”
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Bearing thinking of edge computing based on NFV by Yujia LUO, Liang OU, Hong TANG

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Performance for rotor system of hybrid electromagnetic bearing and elastic foil gas bearing with dynamic characteristics analysis under deep learning. by Xiangxi Du, Yanhua Sun

“…The bearing-rotor system is prone to faults during operation, so it is necessary to analyze the dynamic characteristics of the bearing-rotor system to discuss the optimal structure of the convolutional neural network (CNN) in system fault detection and classification. …”
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THE MODELLING OF THE DISTRIBUTED FUNCTION OF THE PRESSURE IN THE WATER-BEARING HORIZON AT NONLINEAR COEFFICIENT OF THE FILTRATION by Ekaterina Yurevna Sokha, Aleksandr Borisovich Chernyshev, Maksim Yurevich Napalkin

“…The article is considered to modeling of the distributed function of a pressure on the example of rectangular layer of the water-bearing horizon at nonlinear coefficient of a filtration.…”
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Anti-rust primer for steel based on natural rubber bearing methacrylic functionality by Rattanawadee Ninjan, Bencha Thongnuanchan, Natinee Lopattananon, Charoen Nakason

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Morphological and functional characteristics of Trichinella sp. larvae in bears and badgers in the Kirov Region by O. B. Zhdanova, I. I. Okulova, A. V. Uspensky, L. A. Napisanova

“…The purpose of the research is study of morphological and functional characteristics of Trichinella sp. larvae in bears and badgers in the Kirov Region.Materials and methods. …”
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Bearing Small Sample Fault Diagnosis based on Data Generation and Transfer Learning by Dinghui Wu, Qin Fang, Chuyi Wu

“…Aiming at the problem of limited fault diagnosis performance caused by a single source of historical operating data for wind turbine bearings and a small amount of data， a small sample fault diagnosis method of bearings based on data generation and transfer learning is proposed. …”
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Fault Diagnosis of Rolling Bearing Based on Modified Deep Metric Learning Method by Zengbing Xu, Xiaojuan Li, Hui Lin, Zhigang Wang, Tao Peng

“…A novel fault diagnosis method of rolling bearing based on deep metric learning and Yu norm is proposed in this paper, which is called a deep metric learning method based on Yu norm (DMN-Yu). …”
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Fault diagnosis and inference of hoist main bearing based on transfer learning and ontology by Fei DONG, Di ZHANG, Kunpeng GE, Junjie CHEN, Xinyue XU

“…To overcome the challenges still faced by data-driven hoist main bearing fault diagnosis methods, including data imbalance due to a lack of fault samples under real operating conditions, diagnostic performance degradation of fault diagnosis models caused by significant differences in data sample distribution under varying conditions, single fault diagnosis function, and a lack of reasoning analysis and localization for the causes of hoist main bearing system failures, a new fault diagnosis and reasoning method for hoist main bearing systems is studied, which includes two aspects: ① Bearing fault diagnosis based on convolutional neural network transfer learning and domain adaptation. …”
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Asynchronous bearing only tracking management approach in distributed multi-function integrated sensors by ZHANG Wei, YANG Qiu, LI Hao

Subjects: “…multi-function sensor|bearing only tracking|information gain…”
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Reconsideration of the load-bearing functions of the plantar fascia and intrinsic foot muscles in the windlass mechanism by Hiroshi Shinohara, Yasuyuki Umezaki, Airi Ikeda, Takara Ikeda, Nao Tateyama

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The Impact of Early Weight-Bearing on Functional Recovery After Primary Total Ankle Arthroplasty by Matthew T. Nguyen MD, Brian M. Weatherford MD, Melissa M. Gross MD, Brett Drake BSc(Med), Apurva Choubey MD

“…The objective of this study was to compare weightbearing at 3 weeks versus 6 weeks on functional recovery after primary TAA. We hypothesized that patients allowed to weight bear at 3 weeks would exhibit greater improvements in range of motion (ROM) without any increase in postoperative complications. …”
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RESEARCH ON FAULT DIAGNOSIS METHOD OF ROLLING BEAR BASED ON SYMBOLIC ANALYSIS OF INTRINSIC MODE FUNCTION by HOU HePing, XU ZhuoFei, LIU Kai

“…Firstly,the extension fault signal is decomposed into several intrinsic mode functions under different time scales with empirical mode decomposition. …”
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