[HTML][HTML] A state-of-the-art review on uncertainty analysis of rotor systems
Uncertainty handling and analysis of rotor systems have been active research areas during
the last two decades. This paper provides a state-of-the-art review on the research progress …
the last two decades. This paper provides a state-of-the-art review on the research progress …
Surrogate modeling for dynamic analysis of an uncertain notched rotor system and roles of Chebyshev parameters
The non-intrusive Chebyshev surrogate coupled with the harmonic balance method is
developed to calculate harmonics and super-harmonic responses of an uncertain notched …
developed to calculate harmonics and super-harmonic responses of an uncertain notched …
Kriging metamodeling in rotordynamics: Application for predicting critical speeds and vibrations of a flexible rotor
Rotating machinery produces vibrations depending upon the design of the rotor systems as
well as any faults or uncertainties in the machine that can increase the vibrations of such …
well as any faults or uncertainties in the machine that can increase the vibrations of such …
[HTML][HTML] Robust design optimization of gas-lubricated herringbone grooved journal bearings: Surrogate modeling and experimental validation
This study experimentally validates robust designs for herringbone grooved journal bearings
(HGJBs) in micro-turbocompressors, addressing manufacturing deviations that lead to rotor …
(HGJBs) in micro-turbocompressors, addressing manufacturing deviations that lead to rotor …
A subinterval bivariate dimension-reduction method for nonlinear problems with uncertainty parameters
F Li, H Zhao, T Wei, H Li - Meccanica, 2022 - Springer
A subinterval bivariate dimension-reduction method is proposed to predict the upper and
lower bounds of nonlinear problems with uncertain-but-bounded parameters, especially for …
lower bounds of nonlinear problems with uncertain-but-bounded parameters, especially for …
Machine learning-based performance analysis of two-axial-groove hydrodynamic journal bearings
The precise prediction of a rotor against instability is needed for avoiding the degradation or
failure of the system's performance due to the parametric variabilities of a bearing system. In …
failure of the system's performance due to the parametric variabilities of a bearing system. In …
[HTML][HTML] Bayesian Architecture for Predictive Monitoring of Unbalance Faults in a Turbine Rotor–Bearing System
Unbalance faults are among the common causes of interruptions and unexpected failures in
rotary systems. Therefore, monitoring unbalance faults is essential for predictive …
rotary systems. Therefore, monitoring unbalance faults is essential for predictive …
Dynamic analysis of rotating systems considering uncertainties in the bearings' parameters
Industrial applications, like steam turbines and pumps, require an adequate rotor and
bearing modeling to predict its dynamic behavior. The use of robust models allows …
bearing modeling to predict its dynamic behavior. The use of robust models allows …
Uncertain and sensitivity analyses of a composite shaft
PCPF Barbosa, FA Lara-Molina, IB da Silva… - Meccanica, 2020 - Springer
Composite materials have been widely used in engineering applications due to their many
advantages over conventional materials. Following this trend, researchers on rotordynamics …
advantages over conventional materials. Following this trend, researchers on rotordynamics …
[HTML][HTML] Probabilistic Analysis of Orbital Characteristics of Rotary Systems with Centrally and Off-Center Mounted Unbalanced Disks
Z Šavrnoch, M Sapieta, V Dekýš, B Drvárová… - Applied Sciences, 2024 - mdpi.com
Rotor dynamics plays a crucial role in the performance and safety of rotating machinery, with
disk position and unbalance significantly impacting system behavior. This study investigates …
disk position and unbalance significantly impacting system behavior. This study investigates …