Field Estimation of Dynamic Coefficients of Journal Bearing Under Transient Operations

Yang Kang, Zizhen Qiu, Siqi Han, Fengshou Gu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Accurate estimation of the transient dynamic coefficients (TDC) of the journal bearing is very significant to the dynamic characteristic analysis of rotating machinery. In this paper, an iteration strategy is formulated based on the Cubature Kalman filter (CKF) to estimate the TDC in the time domain using the measured shaft displacements of the journal-bearing rotor system. By combining the state space model and CKF method, the proposed method can estimate the TDC of journal bearing under varying speeds. Finally, the simulation studies show that the proposed method can efficiently estimate the TDC of the journal bearing.

Original languageEnglish
Title of host publicationProceedings of the TEPEN International Workshop on Fault Diagnostic and Prognostic - TEPEN2024-IWFDP
EditorsBingyan Chen, Xiaoxia Liang, Tian Ran Lin, Fulei Chu, Andrew D. Ball
PublisherSpringer, Cham
Pages35-49
Number of pages15
Volume170
ISBN (Electronic)9783031702358
ISBN (Print)9783031702341, 9783031702372
DOIs
Publication statusPublished - 3 Sep 2024
EventTEPEN International Workshop on Fault Diagnostic and Prognostic - Qingdao, China
Duration: 8 May 202411 May 2024

Publication series

NameMechanisms and Machine Science
PublisherSpringer
Volume170 MMS
ISSN (Print)2211-0984
ISSN (Electronic)2211-0992

Conference

ConferenceTEPEN International Workshop on Fault Diagnostic and Prognostic
Abbreviated titleTEPEN2024-IWFDP
Country/TerritoryChina
CityQingdao
Period8/05/2411/05/24

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