Results 261 to 270 of about 93,445 (307)
Some of the next articles are maybe not open access.
Statistical Modeling of Bearing Degradation Signals
IEEE Transactions on Reliability, 2017Bearings are the most common mechanical components used in machinery to support rotating shafts. Due to harsh working conditions, bearing performance deteriorates over time. To prevent any unexpected machinery breakdowns caused by bearing failures, statistical modeling of bearing degradation signals should be immediately conducted. In this paper, given
Dong Wang, Kwok-Leung Tsui
exaly +2 more sources
Modeling of Electrodynamic Bearings
Journal of Vibration and Acoustics, 2008A new model of electrodynamic bearings is presented in this paper. The model takes into account the R-L dynamics of the eddy currents on which this type of bearing is based, making it valid for both quasistatic and dynamic analyses. In the quasistatic case, the model is used to obtain the force generated by an off-centered shaft rotating at a fixed ...
AMATI, NICOLA +2 more
openaire +2 more sources
Modeling of hydrodynamic bearing wear in rotor-bearing systems
Mechanics Research Communications, 2015Abstract Hydrodynamic bearings are widely used in industry mainly due to their simplicity, efficiency and low cost. However, these components also represent one of the main critical factors with respect to stability and failure analysis of the system.
Tiago H. Machado, Katia L. Cavalca
openaire +1 more source
On a mathematical model of journal bearing lubrication
Mathematics and Computers in Simulation, 2011The authors consider the isothermal steady motion of an incompressible fluid whose viscosity depends on the pressure and the shear rate. The system is completed by suitable boundary conditions involving non-homogeneous Dirichlet, Navier's slip and inflow/outflow parts.
Martin Lanzendörfer, Jan Stebel
openaire +3 more sources
Modeling and control of a magnetic bearing system
Proceedings of the 2010 American Control Conference, 2010This paper presents the pedagogy of digital control design and experiment for a magnetic bearing system as part of a graduate level digital control class. The system identification verifies the system model structure, where the unstable MIMO system is kinematically de-coupled into SISO systems with model uncertainty bounds characterized for robustness ...
Kevin C. Chu +4 more
openaire +1 more source
Diagnose Bearing Failures With Machine Learning Models
2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), 2021Bearing failure is one of the foremost causes of breakdown in rotating machinery. Such failures can be catastrophic and can result in costly downtime. Thus, several methods it has been proven to identify the signature of bearing faults and it was proved for medium to high speed regimes that it is possible to detect a fault through vibration signals.
Alexandra Baicoianu, Andreea Mathe
openaire +1 more source
Model membranes bearing glycolipids and glycoproteins
Chemistry and Physics of Lipids, 1986The forces that hold cell membrane components together are non-covalent and thermodynamically favoured in aqueous media. Hence virtually any glycolipid or membrane glycoprotein might be expected to be incorporable into lipid bilayer membranes and this expectation has been borne out. In addition methods have been developed for linking lipid fragments to
openaire +2 more sources
Adaptive Bearings Vibration Modelling for Diagnosis
2011An adaptive algorithm for vibration signal modeling is proposed in the paper. The aim of the signal processing is to detect the impact signals (shocks) related to damages in rolling element bearings (REB). Damage in the REB may result in cyclic impulsive disturbance in the signal, however they are usually completely masked by the noise.
Ryszard A. Makowski, Radoslaw Zimroz
openaire +1 more source
Simulation model of the bearings with defects
Proceedings of 2012 IEEE International Conference on Automation, Quality and Testing, Robotics, 2012A fundamental problem in the development and validation of faults detection and diagnoses is to obtain fault signature data and if is possible to be able to configure fault parameters.
Bogdan Betea +3 more
openaire +1 more source