Identification of oil-film coefficients for a rotor-journal bearing system based on equivalent load reconstruction

Li, Kun; Liu, Jie; Han, Xu; Jiang, Chao; Qin, Hongjun

doi:10.1016/j.triboint.2016.09.012

Cited by 29 publications

(12 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The dynamic displacements of journal are less than the bearing clearance, which subjected to the dynamic response of the bearing and small amplitude motion; the dynamic coefficients (stiffness and damping coefficients) are obtained. In Figure 1 a bearing is exposed to a small external force (small amplitude motion), the effect to change the load on the position of the shaft provide more displacement of Δx and Δy from this position where the resultant reaction load has components of ωx and ωy .Thus, performing a first order Taylor expansion of these components gives [14,15]:…”

Section: Dynamic Coefficients Of Fluid Bearingsmentioning

confidence: 99%

Investigate the Effect of Damping Parameters of the Hydrodynamic Bearings Using the Optimization Method of Design of Experiments

Abdallah¹,

Refassi²,

Mimmoun³

et al. 2020

MMEP

View full text Add to dashboard Cite

The dynamic behavior of fluid film bearings is one of the principal factors, which affect the performance of the rotating machines. In this research, a rigid rotor supported by two identical hydrodynamic bearings is considered. The main objective of this work is to predict the influence of the damping film of the hydrodynamic bearings on the stability of the rotating machines. Analysis of variance requested to identify the frequency of a system by the effect of damping coefficients that affects the unbalance of the system investigated by employing two software is presented, Matlab to calculate damping and the frequency of the coefficients, the design of Experiments (DOE) for calculates statistical effect of these parameters on the frequency of the system. Thus, in the DOE two levels were use in fifteen factors resulting in forty-eight combinations according to the Plakett-Burman design. The effect and Pareto graphs have studied to identify which damping coefficients and diameters are responsible for producing greatly effects on frequency and stability. The results showed that the damping coefficient Czy and D10, D17 produce major effects, on the stability of the system.

show abstract

Section: Dynamic Coefficients Of Fluid Bearingsmentioning

confidence: 99%

Investigate the Effect of Damping Parameters of the Hydrodynamic Bearings Using the Optimization Method of Design of Experiments

Abdallah¹,

Refassi²,

Mimmoun³

et al. 2020

MMEP

View full text Add to dashboard Cite

show abstract

“…Numerical examples demonstrate the effectiveness of the proposed method and the correctness of identified load. In the study of Li et al [5], a laboratory method based on equivalent dynamic load reconstruction is proposed for the identification of oil-film coefficients, a rotor structure with two journal bearings is investigated, and the identification results of oil-film coefficients demonstrate the validity and accuracy of the proposed method. e interval theory method only needs to know the bounds of uncertain parameters, and the result is a minimum set of all feasible solutions [6][7][8].…”

Section: Introductionmentioning

confidence: 97%

Load Identification Method Based on Interval Analysis and Tikhonov Regularization and Its Application

Liu

Ren

Wang

2019

Journal of Electrical and Computer Engineering

View full text Add to dashboard Cite

In order to study the dynamic force identification method of an end-plate pick of shearer, a dynamic force identification technique based on interval theory was proposed. e dynamic force interval identification model is established by describing and quantifying the identified parameters. By using the interval analysis method of the first-order Taylor expansion, the dynamic force identification is transformed into two kinds of deterministic inverse problems at the midpoint of the uncertain parameter and its gradient identification. e Tikhonov regularization method is used to solve two kinds of deterministic problems, and the upper and lower boundaries of dynamic force of the end-plate pick are determined. e results show that the deviations between the identified dynamic force and the actual dynamic force are basically within 2% and 5%, and the average uncertainties are up to 7% and 10%. erefore, the proposed method can effectively determine the upper and lower boundaries of dynamic force of the endplate pick, improve the solving efficiency, and provide a new research method for studying the coal rock mechanism of the pick cutting load.

show abstract

“…Among these excitation methods, the imbalance mass, which has high accuracy and does not need extra devices, is more widely used in the identification of the bearing dynamic coefficients [9,10] and imbalance information [11,12]. Additionally, some optimization techniques, such as the equivalent dynamic load reconstruction [13], hybrid evolutionary algorithm [14], and the Bayesian inference [15], are combined with the imbalance excitation methods to improve the accuracy in bearing dynamic coefficients. Moreover, the ill-problems in the identification process are also a concern and should 2 of 17 be avoided by combining the dynamic equations from the unbalance response and the proposed complementary equations [16].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter

Kang

Shi

Zhang

et al. 2020

Sensors

View full text Add to dashboard Cite

The dynamic coefficients identification of journal bearings is essential for instability analysis of rotation machinery. Aiming at the measured displacement of a single location, an improvement method associated with the Kalman filter is proposed to estimate the bearing dynamic coefficients. Firstly, a finite element model of the flexible rotor-bearing system was established and then modified by the modal test. Secondly, the model-based identification procedure was derived, in which the displacements of the shaft at bearings locations were estimated by the Kalman filter algorithm to identify the dynamic coefficients. Finally, considering the effect of the different process noise covariance, the corresponding numerical simulations were carried out to validate the preliminary accuracy. Furthermore, experimental tests were conducted to confirm the practicality, where the real stiffness and damping were comprehensively identified under the different operating conditions. The results show that the proposed method is not only highly accurate, but also stable under different measured locations. Compared with the conventional method, this study presents a more than high practicality approach to identify dynamic coefficients, including under the resonance condition. With high efficiency, it can be extended to predict the dynamic behaviour of rotor-bearing systems.

show abstract

Identification of oil-film coefficients for a rotor-journal bearing system based on equivalent load reconstruction

Cited by 29 publications

References 28 publications

Investigate the Effect of Damping Parameters of the Hydrodynamic Bearings Using the Optimization Method of Design of Experiments

Investigate the Effect of Damping Parameters of the Hydrodynamic Bearings Using the Optimization Method of Design of Experiments

Load Identification Method Based on Interval Analysis and Tikhonov Regularization and Its Application

A Novel Method for the Dynamic Coefficients Identification of Journal Bearings Using Kalman Filter

Contact Info

Product

Resources

About