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Journal articles on the topic 'Bearing ability'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

NAKANISHI, Yoshitaka, Kenryo SHIMAZU, and Hidehiko HIGAKI. "8G35 Lubricating ability of biomimetic bearing." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2012.24 (2012): _8G35–1_—_8G35–2_. http://dx.doi.org/10.1299/jsmebio.2012.24._8g35-1_.

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2

Ou, Ya Fei, Xiao Chu Liu, Chuan Jian Liu, Wen Xiong Li, and Hao Wang. "Based on Bearing Centerless Strengthening and Polishing Processing Multiple Collision Finite Element Simulation Analysis." Advanced Materials Research 328-330 (September 2011): 624–27. http://dx.doi.org/10.4028/www.scientific.net/amr.328-330.624.

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To further understand the bearing performance’s influence of the plastic deformation after balls and bearing rings surface multiple collision in ball bearing’s strengthening and polishing processing by the strengthening and polishing machine. ABAQUES software is used for finite element analysis in the three-dimensional modeling of multiple collision, and the plastic strengthen the performance of bearings is researched mainly. The results shows that the raceway surface is significant plastic strengthen in multiple collisions, Yield ability is enhanced largely, and surface residual stress state

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3

Jiang, Miao, and Yang Xiang. "Prediction on the Remaining Useful Life of Rolling Bearings Using Ensemble DLSTM." Shock and Vibration 2023 (March 20, 2023): 1–16. http://dx.doi.org/10.1155/2023/3742912.

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As a significant component of rotation machinery, bearing plays a role in supporting and transmitting power. However, bearings are subject to complex operating conditions and are prone to failure. To avoid ineffectiveness and improve the reliability of bearings, a data-driven method is used to predict the remaining useful life (RUL). However, this method is less stable and can only forecast the RUL of bearings under training sample conditions. An ensemble deep, long-term, and short-term memory (EDLSTM) method is proposed to solve this problem. First, the feature of the forecast-bearing RUL was

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4

Chen, Chih-Cheng, Zhen Liu, Guangsong Yang, Chia-Chun Wu, and Qiubo Ye. "An Improved Fault Diagnosis Using 1D-Convolutional Neural Network Model." Electronics 10, no. 1 (2020): 59. http://dx.doi.org/10.3390/electronics10010059.

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The diagnosis of a rolling bearing for monitoring its status is critical in maintaining industrial equipment while using rolling bearings. The traditional method of diagnosing faults of the rolling bearing has low identification accuracy, which needs artificial feature extraction in order to enhance the accuracy. The one-dimensional convolution neural network (1D-CNN) method can not only diagnose bearing faults accurately, but also overcome shortcomings of the traditional methods. Different from machine learning and other deep learning models, the 1D-CNN method does not need pre-processing one

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5

Handschin, Lukas. "Corporate Risks, Risk Bearing Ability and Equity." European Business Law Review 22, Issue 2 (2011): 189–210. http://dx.doi.org/10.54648/eulr2011009.

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There is a relation between corporate risks, risk bearing ability and equity. In order to assess the risk bearing ability of a corporation, one reference figure is equity, understood as the sum of legal capital and reserves, free reserves and accrued profits. Equity shows the risk bearing ability related to the risk of asset reduction as well as the ability of the corporation to attract new liquidity by increasing debts, in case of a negative free cash flow. Equity is the risk reserve of the corporation. The relation between equity and risk bearing ability allows defining the necessary amount

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6

GAWARKIEWICZ, Rafał. "SEARCH FOR THE MOST USEFUL GEOMETRY OF AN ACOUSTIC JOURNAL BEARING." Tribologia 273, no. 3 (2018): 15–66. http://dx.doi.org/10.5604/01.3001.0010.6122.

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Computer simulations of a number of journal bearing’s geometries utilising acoustic levitation were carried out. The choice of the best geometry depended on the ability of a deformed shape, created by piezo-electric elements, to facilitate squeeze film ultrasonic levitation, and also to create three evenly distributed diverging aerodynamic gaps. Deformations of analysed variants of the bearing’s shape were generated by numerical simulations utilising the finite element method. For the chosen shapes of geometry, prototype bearings were made and their usefulness verified experimentally. As a res

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7

Williams, P. F., Y. Iwasaki, K. Ishihara, et al. "Evaluation of the frictional properties of an elastomer with enhanced lipid-adsorbing ability." Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 211, no. 5 (1997): 359–68. http://dx.doi.org/10.1243/0954411971534485.

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Wear particle production in load-bearing orthopaedic implants is one of the major factors currently limiting the service life of the implant. Most of the research carried out to date in attempting to solve this problem has used the approach of finding more wear-resistant biocompatible material pairs. In contrast, other researchers have attempted to reduce wear by encouraging elastohydrodynamic film formation through the use of elastomeric bearing surfaces. Unfortunately, these elastomeric bearing surfaces have poor tribological properties when a fluid film is not present. Boundary lubrication

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8

Minasyan, Gegine. "Strength and bearing ability Monier's brick vaults." Bulletin of Science and Research Center “Stroitelstvo”, no. 2(25) (2020): 89–95. http://dx.doi.org/10.37538/2224-9494-2020-2(25)-89-95.

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9

TOKTAR, GULMIRA, DINARA KAUMETOVA, AYGUL KOIZHANOVA, DAVID MAGOMEDOV, OLGA АTANOVA, and NURGALI ABDYLDAYEV. "Study of gold-bearing ore bonification ability." Domestic geology, no. 6 (January 10, 2023): 86–94. http://dx.doi.org/10.47765/0869-7175-2022-10037.

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The paper presents the study results on the gold benification and increase of gold extraction in the flotation cycle of ore from the Vasilkovsky deposit. The composition of the initial ores was studied. Based on mineralogical, XRF, chemical assay, atomic absorption, X-ray phase and rational analyses the following types of gold were identified: fine gold; gold associated with sulfides in chalcopyrite, pyrite and arsenopyrite; and fine-disseminated gold in silicates. It was established that the ore belongs to the gold-quartz and gold-sulfide types with free and cyanided gold. Our results allow u

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10

Ren, Ling, Hoi Man Wong, Chun Hoi Yan, Kelvin W. K. Yeung, and Ke Yang. "Osteogenic ability of Cu-bearing stainless steel." Journal of Biomedical Materials Research Part B: Applied Biomaterials 103, no. 7 (2014): 1433–44. http://dx.doi.org/10.1002/jbm.b.33318.

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11

Lim, T. M., and G. B. Chai. "Validating the dynamic coefficients of bearing pedestals in a multi-mode rotor—bearing system." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 6 (2009): 1359–78. http://dx.doi.org/10.1243/09544062jmes1161.

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Over the years, methods have been developed to estimate the dynamic coefficients of bearings based on parameter identification techniques. The stage where the estimated coefficients obtained from these methods need to be validated on actual operating machines, especially those operating at hypercritical speeds, has been reached. This article extended the frequency domain parameter estimation technique normally used on bearings to extract the dynamic coefficients of the bearing pedestals in isolation. It is demonstrated here that by using only a single forcing mechanism located at an angle to t

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12

Mosher, P., and D. W. Childs. "Theory Versus Experiment for the Effects of Pressure Ratio on the Performance of an Orifice-Compensated Hybrid Bearing." Journal of Vibration and Acoustics 120, no. 4 (1998): 930–36. http://dx.doi.org/10.1115/1.2893922.

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This research investigates the effect of varying the concentric recess pressure ratio of hybrid (combination hydrostatic and hydrodynamic) bearings to be used in high-speed, high-pressure applications. Bearing flowrate, load capacity, torque, rotordynamic coefficients, and whirl frequency ratio are examined to determine the concentric, recess-pressure ratio which yields optimum bearing load capacity and dynamic stiffness. An analytical model, using two-dimensional bulk-flow Navier-Stokes equations and anchored by experimental test results, is used to examine bearing performance over a wide ran

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13

Xie, Wenlang, Zhixiong Li, Yang Xu, Paolo Gardoni, and Weihua Li. "Evaluation of Different Bearing Fault Classifiers in Utilizing CNN Feature Extraction Ability." Sensors 22, no. 9 (2022): 3314. http://dx.doi.org/10.3390/s22093314.

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In aerospace, marine, and other heavy industries, bearing fault diagnosis has been an essential part of improving machine life, reducing economic losses, and avoiding safety problems caused by machine bearing failures. Most existing bearing fault diagnosis methods face challenges in extracting the fault features from raw bearing fault data. Compared with traditional methods for bearing fault characteristics extraction, deep neural networks can automatically extract intrinsic features without expert knowledge. The convolutional neural network (CNN) was utilized most widely in extracting represe

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14

Srinivasan, S., E. H. Maslen, and L. E. Barrett. "Optimization of Bearing Locations for Rotor Systems With Magnetic Bearings." Journal of Engineering for Gas Turbines and Power 119, no. 2 (1997): 464–68. http://dx.doi.org/10.1115/1.2815597.

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This paper presents a method for quickly evaluating the effect of changes in bearing location on bearing design for stability of rotating machinery. This method is intended for use by rotating machinery designers to select the “best” bearing locations prior to the bearing design process. The purpose of the method is to improve the design process by separating the problem of determining the “best” bearing locations from that of determining the actual bearing design. The method is independent of the type of bearing employed. For each candidate bearing configuration, the method provides a scalar

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15

Pei, Qiang, Pengfei Qi, Zhicheng Xue, Jintu Zhong, and Yao Zhang. "Design and Experimental Analysis of Seismic Isolation Bearings for Nuclear Power Plant Containment Structures." Buildings 13, no. 9 (2023): 2366. http://dx.doi.org/10.3390/buildings13092366.

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The aim of this study was to further research the mechanical properties of epoxy thick-layer rubber isolation bearings, adopting orthogonal design and efficacy coefficient methods in order to optimize the geometric dimensions and material parameters of the bearing, summarizing the influence of various factors on the overall performance indicators of the bearing, and determining the optimal plan through parameter adjustment. Through a combination of experiments and simulations, the fundamental characteristics of epoxy thick-layer rubber isolation bearings are studied to determine the influence

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16

Zou, Yi, Wenlei Sun, Tiantian Xu, and Bingkai Wang. "Research on the Bearing Remaining Useful Life Prediction Method Based on Optimized BiLSTM." Sensors 25, no. 14 (2025): 4351. https://doi.org/10.3390/s25144351.

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The predictive performance of the remaining useful life (RUL) estimation model for bearings is of utmost importance, and the setting method of the bearing degradation threshold is crucial for detecting its early degradation point, as it significantly affects the performance of the RUL prediction model. To solve these problems, a bearing RUL prediction method based on early degradation detection and optimized BiLSTM is proposed: an optimized VMD combined with the Pearson correlation coefficient is used to denoise the bearing signal. Afterward, multi-domain features are extracted and evaluated u

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17

Rossiter, Kate. "Bearing Response-Ability: Theater, Ethics and Medical Education." Journal of Medical Humanities 33, no. 1 (2011): 1–14. http://dx.doi.org/10.1007/s10912-011-9162-4.

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18

Zhai, Lubin, Xiufeng Wang, Zeyiwen Si, and Zedong Wang. "A Deep Learning Method for Bearing Cross-Domain Fault Diagnostics Based on the Standard Envelope Spectrum." Sensors 24, no. 11 (2024): 3500. http://dx.doi.org/10.3390/s24113500.

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Intelligent fault diagnostics based on deep learning provides a favorable guarantee for the reliable operation of equipment, but a trained deep learning model generally has low prediction accuracy in cross-domain diagnostics. To solve this problem, a deep learning fault diagnosis method based on the reconstructed envelope spectrum is proposed to improve the ability of rolling bearing cross-domain fault diagnostics in this paper. First, based on the envelope spectrum morphology of rolling bearing failures, a standard envelope spectrum is constructed that reveals the unique characteristics of di

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19

Sogalad, I., and N. G. S. Udupa. "Load bearing ability of interference-fitted assemblies: A roundness profile analysis." Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 223, no. 7 (2009): 1623–32. http://dx.doi.org/10.1243/09544062jmes1324.

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This article makes a detailed study of the influence of harmonics and the average undulation number of roundness profiles on the load bearing ability of interference-fitted assemblies. For this purpose, a plan of experiments was prepared by taking 32 factorial design with interference and the average undulation number as parameters. The analysis reveals that both the parameters influence the load bearing ability of interference-fitted assemblies. Further, it is found that harmonics influence the load bearing ability of interference-fitted assemblies.

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20

Wang, Shi Jie, Kang Jian, and Lv Jianhua. "Damage Analysis and Limit Tending Design of Thrust Bearing in esPCP System." Key Engineering Materials 345-346 (August 2007): 525–28. http://dx.doi.org/10.4028/www.scientific.net/kem.345-346.525.

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Thrust bearing is one of the most important components in esPCP system, which determines the lifespan of the whole system under the restriction of some factors such as the depth of downhole unit, the viscosity of petroleum oil to be pumped. To increase the high temperature bearing ability of the bearings under the limitation of radial size, the damage reason of pre-applied bearings was analyzed. Some different modified plans were put forward from two aspects of structure and material. Contact problems were researched for different plans with finite element analysis software of ANSIS. Compariso

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21

Yang, Guohua, Yihuai Hu, and Qingguo Shi. "Fault Diagnosis of Bearings Based on SSWT, Bayes Optimisation and CNN." Polish Maritime Research 30, no. 3 (2023): 132–41. http://dx.doi.org/10.2478/pomr-2023-0046.

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Abstract Bearings are important components of rotating machinery and transmission systems, and are often damaged by wear, overload and shocks. Due to the low resolution of traditional time-frequency analysis for the diagnosis of bearing faults, a synchrosqueezed wavelet transform (SSWT) is proposed to improve the resolution. An improved convolutional neural network fault diagnosis model is proposed in this paper, and a Bayesian optimisation method is applied to automatically adjust the structure and hyperparameters of the model to improve the accuracy of bearing fault diagnosis. Experimental r

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22

Liu, Chunyang, Yuxuan Ban, Hongyu Li, et al. "Accurate Recognition Method for Rolling Bearing Failure of Mine Hoist in Strong Noise Environment." Machines 11, no. 6 (2023): 632. http://dx.doi.org/10.3390/machines11060632.

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The operating environment of rolling bearings in mine hoists is complicated, and detecting their faults is hindered by a weak and unstable initial vibration signal. This directly affects the ability to extract pertinent fault features. This paper puts forward an adaptive fault diagnosis method for rolling bearings that combines the Variational Modal Decomposition (VMD) model and Vision Transformer (ViT) deep learning network model. The objective was to address the difficulty of extracting relevant fault features from bearing vibration signals in environments with strong noise levels. First, an

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23

Asral, Asral, Jamaluddin Md Sheriff, and Kahar Osman. "The Effect of Wavy Groove Liner on Pressure Distribution of Journal Bearing." Applied Mechanics and Materials 315 (April 2013): 889–93. http://dx.doi.org/10.4028/www.scientific.net/amm.315.889.

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The ability of bearing liner to maintain the fluid film lubrication is crucial to its performance. This study is to investigate the pressure distribution for full film lubrication of wavy bearing liner. The results were compared to that from smooth bearing liner. These bearings were used with the palm oil based lubricant. CFD analysis was developed to determine the numerical data. A 60 mm bearing with ratio 0.5 of its diameter to length is simulated. This bearing has 250 µm in clearance and 200 µm in amplitude with semi rectangular circumferential surface waviness liner in shape. Pressure dist

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24

Zhang, Fanyu, Hangyuan Lv, Qingkai Han, and Mingqi Li. "The Effects Analysis of Contact Stiffness of Double-Row Tapered Roller Bearing under Composite Loads." Sensors 23, no. 10 (2023): 4967. http://dx.doi.org/10.3390/s23104967.

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Double-row tapered roller bearings have been widely used in various equipment recently due to their compact structure and ability to withstand large loads. The dynamic stiffness is composed of contact stiffness, oil film stiffness and support stiffness, and the contact stiffness has the most significant influence on the dynamic performance of the bearing. There are few studies on the contact stiffness of double-row tapered roller bearings. Firstly, the contact mechanics calculation model of double-row tapered roller bearing under composite loads has been established. On this basis, the influen

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25

Wang, Qian, Gang Chen, and Yiding Cao. "Analyses of Heat-Pipe Cooled Isothermal Journal Bearings." Journal of Tribology 121, no. 3 (1999): 546–52. http://dx.doi.org/10.1115/1.2834102.

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An isothermal journal bearing that incorporates heat-pipe cooling technology has been developed. The heat pipe can spread frictional heat rapidly along the bearing circumference, resulting in a uniform temperature distribution in the bearing with a low peak temperature and stable transient thermal performance. A numerical model has been developed for the new bearing to facilitate a thorough understanding of its performance as well as an optimal bearing design. The heat pipe in the bearing is modeled as a heat conductor whose effective thermal conductance is determined through the correlation b

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26

Becker-Dombrowsky, Florian Michael, Quentin Sean Koplin, and Eckhard Kirchner. "Individual Feature Selection of Rolling Bearing Impedance Signals for Early Failure Detection." Lubricants 11, no. 7 (2023): 304. http://dx.doi.org/10.3390/lubricants11070304.

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Condition monitoring of technical systems has increasing importance for the reduction of downtimes based on unplanned breakdowns. Rolling bearings are a central component of machines because they often support energy-transmitting elements like shafts and spur gears. Bearing damages lead to a high number of machine breakdowns; thus, observing these has the potential to reduce unplanned downtimes. The observation of bearings is challenging since their behavior in operation cannot be investigated directly. A common solution for this task is the measurement of vibration or component temperature, w

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27

Zhan, YY, XW Deng, XZ Dang, XH Luo, and CN Zhang. "Research on Seismic Reduction and Isolation Design of Prefabricated Viaduct in Areas of High Seismic Risk." Journal of Physics: Conference Series 2476, no. 1 (2023): 012010. http://dx.doi.org/10.1088/1742-6596/2476/1/012010.

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Abstract Seismic isolation design is an effective and economical method to protect precast viaducts from severe earthquake damage. Correct selection of bearings is one of the common methods to achieve this goal. In order to optimize the vibration isolation performance of prefabricated viaducts, this paper compares the vibration isolation performance of lead rubber bearings (LRB) and laminated bearings (LB). The lead rubber bearing (LRB) and laminated bearing are respectively applied to the same analysis model of prefabricated viaduct. The seismic responses of bearings and structural members ar

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28

Евтушенко, Сергей, Sergey Evtushenko, Тимофей Крахмальный, and Timofey Krakhmalnyy. "Actual Problems of Increase in Bearing Ability of Modular Tape Bases." Construction and Architecture 1, no. 1 (2013): 32–37. http://dx.doi.org/10.12737/338.

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It is brought this development of new designs of the modular tape bases with a broken outline of a regional zone, it is fuller using bearing ability of the basis. Calculations of bearing ability of the sandy basis of new designs of the tape bases are given.

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29

Huang, Guangyao, Xiaojing Wang, Xin Qin, Liming Zhu, and Shuxiang Yi. "Experimental investigation of dynamic behavior of rotor system with a novel double layers flexible support tilting pad bearing." Advances in Mechanical Engineering 14, no. 8 (2022): 168781322211164. http://dx.doi.org/10.1177/16878132221116482.

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Among all kinds of journal bearings, the tilting pad bearing has the characteristics of high stability. In order to further reduce the vibration and improve the stability of rotor-bearing systems, a novel double layers flexible support tilting pad bearing (DL-FSTPB) is presented in this paper. The bearing utilizes two layers of springs, which have different functions. The offset springs control the swing angle of the tilting pad to ensure the formation of a convergent oil film, and the symmetrical springs are used to change the bearing stiffness coefficient, increase the bearing elasticity, an

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30

Jamari, J., Muhammad Imam Ammarullah, Gatot Santoso, S. Sugiharto, Toto Supriyono, and Emile van der Heide. "In Silico Contact Pressure of Metal-on-Metal Total Hip Implant with Different Materials Subjected to Gait Loading." Metals 12, no. 8 (2022): 1241. http://dx.doi.org/10.3390/met12081241.

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The use of material for implant bearing has a vital role in minimizing failures that endanger implant recipients. Evaluation of contact pressure of bearing material can be the basis for material selection and have correlations with wear that contribute to the need of revision operations. The current paper aims to investigate three different metallic materials, namely cobalt chromium molybdenum (CoCrMo), stainless steel 316L (SS 316L), and titanium alloy (Ti6Al4V) for application in metal-on-metal bearing of total hip implant in terms of contact pressure. In silico model based on finite element

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31

Chen, Yuanling, Hao Shi, Yaguang Jin, and Yuan Liu. "Study on fault diagnosis of ultra-low-speed bearings under variable working conditions based on improved EfficientNet network." Insight - Non-Destructive Testing and Condition Monitoring 66, no. 2 (2024): 94–102. http://dx.doi.org/10.1784/insi.2024.66.2.94.

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Bearing fault diagnosis plays an important part in preventing rotating equipment faults, especially in the field of ultra-low-speed bearing fault diagnosis. Due to their low fault frequency and insignificant fault characteristics, it is difficult to realise the fault diagnosis of ultra-low-speed bearings using traditional methods; therefore, based on acoustic emission (AE) signals, this study proposes an ultra-low-speed bearing recognition model with EfficientNet as the backbone feature extraction network and successfully achieves bearing fault diagnosis under small-sample variable working con

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32

Zhang, Ming, and Winson C. C. Lee. "Quantifying the Regional Load-Bearing Ability of Trans-Tibial Stumps." Prosthetics and Orthotics International 30, no. 1 (2006): 25–34. http://dx.doi.org/10.1080/03093640500468074.

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This paper reports findings of experiments aiming to (1) compare the load tolerant ability over different regions of stumps of lower limb amputees, (2) study the effect of walking on the load tolerant ability, and (3) examine the distal-end weight-bearing ability supported by different interface materials. The method was to apply increasing load to the stump up to the pain level through a force transducer or a digital scale, considering the effect of regional difference, walking, and interface materials. The results show that the patellar tendon and the distal end of the fibula were the best a

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33

Malla, Chandrabhanu, Ankur Rai, Vaishali Kaul, and Isham Panigrahi. "Rolling element bearing fault detection based on the complex Morlet wavelet transform and performance evaluation using artificial neural network and support vector machine." Noise & Vibration Worldwide 50, no. 9-11 (2019): 313–27. http://dx.doi.org/10.1177/0957456519883280.

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Condition monitoring and fault diagnosis of rolling element bearings are very important to ensure proper working of different types of machinery. Condition monitoring of rotating machines is mainly based on the analysis of machine vibration. The vibration signals from the mechanical fault generally comprise periodic impulses with specified characteristic frequency corresponds to a particular defect. But due to heavy noise in the industry, the vibration signals have a very low signal-to-noise ratio. Hence, it requires an appropriate technique to extract the impulses from the noisy signal. This

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Zhang, Ying, Anchen Wang, and Hongfu Zuo. "Roller Bearing Performance Degradation Assessment Based on Fusion of Multiple Features of Electrostatic Sensors." Sensors 19, no. 4 (2019): 824. http://dx.doi.org/10.3390/s19040824.

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This paper presents a new method to assess the performance degradation of roller bearings based on the fusion of multiple features, with the aim of improving the early degradation detection ability of the electrostatic monitoring system. At first, a set of feature parameters of the electrostatic monitoring system indicating the normal state of the bearings are extracted from the perspective of the time domain, frequency domain and complexity. Then, the parameter set is processed to reduce the dimensions and eliminate the redundancy using spectral regression. With the processed features, a Gaus

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35

Takagi, S., A. Tsukada, N. Saito, and K. Shimada. "Fertilizing Ability of Chicken Sperm Bearing the W Chromosome." Poultry Science 86, no. 4 (2007): 731–38. http://dx.doi.org/10.1093/ps/86.4.731.

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36

Ebert, J. R., D. G. Lloyd, T. R. Ackland, and D. J. Wood. "P7 Partial weight bearing ability following autologous chondrocyte implantation." Osteoarthritis and Cartilage 15 (2007): B89. http://dx.doi.org/10.1016/s1063-4584(07)61362-4.

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37

Rumbarger, John H. "Analysis of Rolling Bearings With Reduced Numbers of Balls or Rollers." Journal of Tribology 126, no. 2 (2004): 407–11. http://dx.doi.org/10.1115/1.1651537.

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A method is presented to allow the computer analysis of rolling bearings with reduced numbers of balls or rollers with no loss of accuracy. There are three advantages with the ability to model the bearings with less than the actual numbers of balls or rollers: (1) The method allows for the analysis of bearings which have more balls or rollers than allowed by the dimensioning of the computer software; (2) The method allows for the selection of a model number of nodes or rolling elements which are equally spaced and correspond to the number of nodes of a finite element analysis of the bearing ri

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38

Negreeva, M. B., and L. N. Solomin. "Biomechanical assessment of the support ability of the lower limbs in patients with fractures of the bones of the lower leg in the treatment of transosseous osteosynthesis." N.N. Priorov Journal of Traumatology and Orthopedics 7, no. 2 (2000): 68–72. http://dx.doi.org/10.17816/vto104256.

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In 17 patients with diaphyseal shin fractures treated by transosseous osteosynthesis the weight bearing ability was studied at standing and walking. Immediately after transosseous osteosynthesis in all patients the weight bearing was shown to be present both at standing and at walking with crutches. Then the weight bearing load on the operated limb at standing was increased to a greater degree compared to the duration of weight bearing on the operated limb at walking. By the end of fixation period the load of weight bearing on the operated limb at standing was almost normal, but the time of we

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Euler, Jan, Georg Jacobs, Amin Loriemi, Timm Jakobs, Amadeus Rolink, and Julian Röder. "Scaling Challenges for Conical Plain Bearings as Wind Turbine Main Bearings." Wind 3, no. 4 (2023): 485–95. http://dx.doi.org/10.3390/wind3040027.

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Wind energy is an important renewable energy source. Rotor main bearings are critical components of wind turbines since a faulty main bearing leads to downtime and high repair costs. Operational expenditures amount to 32% of wind energy costs. The use of plain bearings as main bearings can potentially reduce these costs. Plain bearings with segmented sliding elements can be repaired up-tower without dismantling the drivetrain, as damaged segments can be exchanged individually. One such segmented plain bearing design is the conical plain bearing design called FlexPad. For the FlexPad, proof of

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Pavlíková, D., T. Macek, M. Macková, M. Surá, J. Száková, and P. Tlustoš. "The evaluation of cadmium, zinc and nickel accumulation ability of transgenic tobacco bearing different transgenes." Plant, Soil and Environment 50, No. 12 (2011): 513–17. http://dx.doi.org/10.17221/4067-pse.

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Tobacco, Nicotiana tabacum L., var. Wisconsin 38 as the control (WSC), and four genetically modified lines of the same variety, were tested for Cd, Zn and Ni accumulation. Genetically modified lines of the same variety, bearing the transgene CUP1 (gene coding a yeast metallothionein), GUS (reporter gene for &szlig;-glucuronidase), HisCUP (CUP combined with a polyhistidine tail), and HisGUS (reporter gene for &szlig;-glucuronidase, combined with a polyhistidine tail) under a constitutive promoter, enabling it to follow the heavy metal tolerance and uptake changes as a function of the tr

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Feng, Jiao Wei, Jun Yan Lu, and Jin Dong Ma. "Studies of Anti-Disaster Ability of the Plate Truss Structure." Applied Mechanics and Materials 438-439 (October 2013): 1892–94. http://dx.doi.org/10.4028/www.scientific.net/amm.438-439.1892.

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The grid structure often overall failed dut to local damage under the disaster load. In order to avoid the situation, the load cases of the plate truss structure under vertical load are analyzed in this paper. Taking the measure of strengthening the important bars, the ultimate bearing capacity of the structure is improved significantly. The improved load bearing capacity plays a positive role in resisting exceeding loads. Anti-disaster ability of the structure is improved.

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Xing, Yitong, Jian Feng, Yu Yao, Keqin Li, and Bowen Wang. "Multi-task Learning for the Bearing Based on a One-Dimensional Convolutional Neural Network with Attention Guidance Mechanism and Multi-Scale Feature Extraction." Insight - Non-Destructive Testing and Condition Monitoring 65, no. 8 (2023): 433–42. http://dx.doi.org/10.1784/insi.2023.65.8.433.

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Fault type and fault degree identification are the main aim in the bearing multi-task learning. However, a large number of on-site accidents have shown that the bearing working condition plays an important role in bearing service life and fault diagnosis. In current studies, the bearing working condition identification task is often used for auxiliary tasks and is easily ignored. Thus, this paper studies the bearing multi-task learning, which regards the working condition identification task as an equally important task. However, simply adding the working condition identification task to the f

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Fan, Qingwen, Yuqi Liu, Jingyuan Yang, and Dingcheng Zhang. "Graph Multi-Scale Permutation Entropy for Bearing Fault Diagnosis." Sensors 24, no. 1 (2023): 56. http://dx.doi.org/10.3390/s24010056.

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Bearing faults are one kind of primary failure in rotatory machines. To avoid economic loss and casualties, it is important to diagnose bearing faults accurately. Vibration-based monitoring technology is widely used to detect bearing faults. Graph signal processing methods promising for the extraction of the fault features of bearings. In this work, graph multi-scale permutation entropy (MPEG) is proposed for bearing fault diagnosis. In the proposed method, the vibration signal is first transformed into a visibility graph. Secondly, a graph coarsening method is used to generate coarse graphs w

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Saucedo-Dorantes, Juan Jose, Francisco Arellano-Espitia, Miguel Delgado-Prieto, and Roque Alfredo Osornio-Rios. "Diagnosis Methodology Based on Deep Feature Learning for Fault Identification in Metallic, Hybrid and Ceramic Bearings." Sensors 21, no. 17 (2021): 5832. http://dx.doi.org/10.3390/s21175832.

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Scientific and technological advances in the field of rotatory electrical machinery are leading to an increased efficiency in those processes and systems in which they are involved. In addition, the consideration of advanced materials, such as hybrid or ceramic bearings, are of high interest towards high-performance rotary electromechanical actuators. Therefore, most of the diagnosis approaches for bearing fault detection are highly dependent of the bearing technology, commonly focused on the metallic bearings. Although the mechanical principles remain as the basis to analyze the characteristi

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Huang, Te Yen, Song Chiang Shen, and Shao Yu Hsu. "Designing the Partially Porous Journal Bearings of an Aerostatic Spindle." Applied Mechanics and Materials 868 (July 2017): 110–17. http://dx.doi.org/10.4028/www.scientific.net/amm.868.110.

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The aerostatic journal bearings are widely used in ultra-precision machine tools. Due to remarkable ability of the porous medium in flow restriction, the porous aerostatic journal bearings are better than other types of aerostatic bearings in load carrying capacity, stiffness, damping and dynamic stability. The partially porous aerostatic journal bearing has the advantages of easy production and low cost. Moreover, the gap between the porous insert and the spindle can be adjusted to reduce the eccentricity due to high speed rotation. In this study, the effects of the size of the porous insert

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Li, Xueyi, Tianyu Yu, Daiyou Li, et al. "A Migration Learning Method Based on Adaptive Batch Normalization Improved Rotating Machinery Fault Diagnosis." Sustainability 15, no. 10 (2023): 8034. http://dx.doi.org/10.3390/su15108034.

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Sustainable development has become increasingly important as one of the key research directions for the future. In the field of rotating machinery, stable operation and sustainable performance are critical, focusing on the fault diagnosis of component bearings. However, traditional normalization methods are ineffective in target domain data due to the difference in data distribution between the source and target domains. To overcome this issue, this paper proposes a bearing fault diagnosis method based on the adaptive batch normalization algorithm, which aims to enhance the generalization abil

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Liu, Yi, Qi Chang, Jiaxin Luo, et al. "Comprehensive Evaluation Model of Bearing Transportation Protection Effect of Bogie Traction Motor under Data Imbalance." Journal of Sensors 2021 (December 6, 2021): 1–19. http://dx.doi.org/10.1155/2021/4690369.

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Under different transportation protection, the sample data of bogie traction motor bearings of urban rail vehicles are seriously unbalanced, and the fault diagnosis ability and generalization effect are poor, which makes it difficult to evaluate the protection effect of bearings effectively. In this paper, a multimeasure hybrid evaluation model based on compressed sensing is proposed to evaluate the effect of bearing transportation protection under data imbalance. Firstly, bearing vibration signals under different transport protection conditions were compressed and sampled, and the original hi

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SHUTIN, D. V., A. S. FETISOV, YU N. KAZAKOV, and A. YU BABIN. "EXPERIMENTAL COMPLEX FOR STUDYING FRICTION IN ACTIVE JOURNAL BEARINGS." Fundamental and Applied Problems of Engineering and Technology 6 (2020): 77–85. http://dx.doi.org/10.33979/2073-7408-2020-344-6-77-85.

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One of the most important characteristics taken into account when designing machines is their efficiency. Active fluid-film bearings are able to influence tribological processes and reduce frictional energy, which increases the efficiency of the machine. For experimental determination of friction and verification of simulation results, an experimental complex was created, which makes it possible to directly measure the moment of friction force in active journal bearings. The complex is based on a rotor-bearing system with a rigid rotor on one active and one passive bearing. The information-mea

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Swędrowski, Leon, Kazimierz Duzinkiewicz, Michał Grochowski, and Tomasz Rutkowski. "Use of Neural Networks in Diagnostics of Rolling-Element Bearing of the Induction Motor." Key Engineering Materials 588 (October 2013): 333–42. http://dx.doi.org/10.4028/www.scientific.net/kem.588.333.

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Bearing defect is statistically the most frequent cause of an induction motor fault. The research described in the paper utilized the phenomenon of the current change in the induction motor with bearing defect. Methods based on the analysis of the supplying current are particularly useful when it is impossible to install diagnostic devices directly on the motor. The presented method of rolling-element bearing diagnostics used indirect transformation, namely Clark transformation. It determines the vector of the spatial stator current based on instantaneous current measurements of the induction

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Iida, Kohei, and Kyosuke Ono. "Analysis of Bouncing Vibrations of a 2-DOF Model of Tripad Contact Slider Over a Random Wavy Disk Surface." Journal of Tribology 123, no. 1 (2000): 159–67. http://dx.doi.org/10.1115/1.1330743.

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We numerically analyzed the bouncing vibrations of a two-degree-of-freedom (2-DOF) model of a tri-pad contact slider with air bearing pads over a random wavy surface and manifested the design conditions of a contact slider. The effects of the design parameters such as air bearing stiffness, contact damping ratio, the coefficient of friction, and the characteristics of the disk surface waviness on dynamic behavior and the contact sliding ability of the slider have been investigated. As a result, we found that friction force decreases the contact sliding ability at the boundary of the intermitte

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