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Abstract
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.
Highlights
In a rotor-bearing system, the bearing dynamic coefficients affect the dynamic behaviour of the system directly, such as the critical speed, imbalance response, and stability performance.Many investigations based on the theoretical model have been carried out to calculate the dynamic coefficients [1,2,3,4]
Many experimental identification methods have been developed to identify the bearing dynamic coefficients based on the model of the system and the measurement displacement, which are often designed based on the excitation methods, such as dynamic loads [5], impulse [6,7], and the imbalance mass [8]
An improved identification method based based on the Kalman filter is proposed using the measured displacement from a single location to identify on the Kalman filter is proposed using the measured displacement from a single location to identify the bearingdynamic dynamiccoefficients
Summary
In a rotor-bearing system, the bearing dynamic coefficients affect the dynamic behaviour of the system directly, such as the critical speed, imbalance response, and stability performance. Many experimental identification methods have been developed to identify the bearing dynamic coefficients based on the model of the system and the measurement displacement, which are often designed based on the excitation methods, such as dynamic loads [5], impulse [6,7], and the imbalance mass [8]. If the sensors are far away from the locations of bearings and only the displacement of the single location can be measured, the displacement of the shaft at bearing locations cannot be estimated by this method For this problem, a double-section interpolation-iteration method, in which the initial dynamic coefficients are used to recover the displacement of the shaft at bearing locations to recalculate the dynamic coefficients, has been designed to identify the dynamic coefficients [18].
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