Stochastic analysis of flexible rotor supported on hydrodynamic bearings

Kartheek, Amaroju; Vijayan, Kiran; Sun, Xiaodong; Marburg, Steffen

doi:10.1016/j.ymssp.2023.110699

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2024

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Cited by 3 publications

References 39 publications

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Nonlinear dynamic behavior of a rotor-bearing system considering time-varying misalignment

Sun,

Chocholaty,

Liu

et al. 2024

International Journal of Mechanical Sciences

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Nonlinear dynamic behavior of a rotor-bearing system considering time-varying misalignment

Sun,

Chocholaty,

Liu

et al. 2024

International Journal of Mechanical Sciences

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Nonlinear Dynamic Behavior of a Rotor-Hydrodynamic Bearing System Considering Time-Varying Misalignment

Sun,

Chocholaty,

Liu

et al. 2024

Preprint

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Combining Artificial Neural Networks and Mathematical Models for Unbalance Estimation in a Rotating System under the Nonlinear Journal Bearing Approach

Tselios,

Nikolakopoulos

2024

Lubricants

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Rotating systems are essential components and play a critical role in many industrial sectors. Unbalance is a very common and serious fault that can cause machine downtime, unplanned maintenance, and potential damage to vital rotating machines. Accurately estimating unbalance in rotor–bearing systems is crucial for ensuring the reliable and efficient operation of machinery. This research paper presents a novel approach utilizing artificial neural networks (ANNs) to estimate the unbalance masses in a multidisk system based on simulation data from a nonlinear rotor–bearing system. Additionally, this study explores the effect of various operating parameters on oil film stability and vibration response through a combination of bifurcation diagrams, spectrum cascades, Poincare maps, and orbit and FFT plots. This study demonstrates the effectiveness of ANNs for unbalance estimation in a fast and accurate way and discusses the potential of ANNs in smart online condition monitoring systems.

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Stochastic analysis of flexible rotor supported on hydrodynamic bearings

Cited by 3 publications

References 39 publications

Nonlinear dynamic behavior of a rotor-bearing system considering time-varying misalignment

Nonlinear dynamic behavior of a rotor-bearing system considering time-varying misalignment

Nonlinear Dynamic Behavior of a Rotor-Hydrodynamic Bearing System Considering Time-Varying Misalignment

Combining Artificial Neural Networks and Mathematical Models for Unbalance Estimation in a Rotating System under the Nonlinear Journal Bearing Approach

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