Tacholess estimation of time-varying dynamic coefficients of journal bearing based on the square-root cubature Kalman filter

Yang Kang, Zizhen Qiu, Qiming Fan, Hao Zhang, Zhanqun Shi, Fengshou Gu

Research output: Contribution to journalArticlepeer-review

Abstract

Accurate estimation of time-varying dynamic coefficients (TVDCs) of the journal bearing is important for the dynamic characteristic analysis of rotating machinery. This paper proposes a novel estimation method to identify TVDCs of journal bearings without the tachometers. Firstly, a phase-based method is introduced to extract the instantaneous angular speed (IAS) from the shaft displacement. Secondly, an iteration strategy based on the square-root cubature Kalman filter (SRCKF) is developed to estimate the TVDCs in the time domain. The state-space model and the measured shaft displacements of the journal bearing-rotor system have been applied in the estimation process. The proposed method can estimate TVDCs of journal bearing under speed-variable conditions without a tachometer by combining the phase-based and SRCKF methods. Finally, the simulation and experiments studies are conducted to demonstrate the effectiveness of the proposed methods. The results show that the proposed method can efficiently estimate TVDCs of the journal bearing under speed-variable conditions and at varied measurement noise levels.
Original languageEnglish
Article number111956
Number of pages15
JournalMeasurement
Volume203
Early online date11 Oct 2022
DOIs
Publication statusPublished - 15 Nov 2022

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