TY - JOUR
T1 - Tacholess estimation of time-varying dynamic coefficients of journal bearing based on the square-root cubature Kalman filter
AU - Kang, Yang
AU - Qiu, Zizhen
AU - Fan, Qiming
AU - Zhang, Hao
AU - Shi, Zhanqun
AU - Gu, Fengshou
N1 - Funding Information:
This research is financially supported by the National Natural Science Foundation of China (Grant no. 51875166, 52175085) and the China Scholarship Council (201906700007).
Publisher Copyright:
© 2022
PY - 2022/11/15
Y1 - 2022/11/15
N2 - 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.
AB - 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.
KW - Time-varying dynamic coefficients
KW - Square-root cubature Kalman filter
KW - Without the tachometers
KW - Unbalance responses
UR - http://www.scopus.com/inward/record.url?scp=85139597695&partnerID=8YFLogxK
U2 - 10.1016/j.measurement.2022.111956
DO - 10.1016/j.measurement.2022.111956
M3 - Article
VL - 203
JO - Measurement
JF - Measurement
SN - 1536-6367
M1 - 111956
ER -