Backward-Auto-Regressive Model Based Rotor-Bearing System Stability Prediction
This paper focus on rotor-bearing system parameter identification with impulse excitation in horizon and vertical which is based on Backward -auto-regressive model. Singular value decomposition is applied to reduce the noise and the proper AR model order and de-noising threshold are selected. In this paper, the damping ratio is identified within the different rotating speed and different impulse excitation, and the error is calculated within the different noise level and different AR model order when compared with the ideal model. Though the theoretical analysis, simulation analysis and experimental research, We can indicate that the BAR model has a good performance in system identification and elimination of false modal.
Qingkai Han, Kazuhiko Takahashi, Chang-Hyun Oh and Zhong Luo
J. L. Yang et al., "Backward-Auto-Regressive Model Based Rotor-Bearing System Stability Prediction", Advanced Engineering Forum, Vols. 2-3, pp. 683-687, 2012