TY - JOUR
T1 - Modeling and evaluation of centrifugal pump performance degradation model based on stochastic process
AU - Chen, Xuan
AU - Li, Jia
AU - Li, Ping
AU - Gao, Limin
AU - Chen, Xiaolong
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2024
Y1 - 2024
N2 - In order to clarify the performance degradation problem of fuel centrifugal pumps, a stochastic process-based performance degradation model modeling method is given with an aero-engine fuel centrifugal pump as the object of study, and the reliability assessment is carried out. First, the degradation modeling method based on stochastic process is given. Secondly, PumpLinx is utilized to obtain the performance degradation data of the centrifugal pump and perform data processing. Gamma and Wiener stochastic process models are given based on MATLAB. Finally, based on the centrifugal pump performance degradation data for centrifugal pump reliability assessment, and compare and analyze the advantages and disadvantages of the two modeling methods, and found that the degradation modeling method based on the Gamma process is more suitable for centrifugal pump reliability assessment.
AB - In order to clarify the performance degradation problem of fuel centrifugal pumps, a stochastic process-based performance degradation model modeling method is given with an aero-engine fuel centrifugal pump as the object of study, and the reliability assessment is carried out. First, the degradation modeling method based on stochastic process is given. Secondly, PumpLinx is utilized to obtain the performance degradation data of the centrifugal pump and perform data processing. Gamma and Wiener stochastic process models are given based on MATLAB. Finally, based on the centrifugal pump performance degradation data for centrifugal pump reliability assessment, and compare and analyze the advantages and disadvantages of the two modeling methods, and found that the degradation modeling method based on the Gamma process is more suitable for centrifugal pump reliability assessment.
UR - http://www.scopus.com/inward/record.url?scp=85195151468&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/2746/1/012014
DO - 10.1088/1742-6596/2746/1/012014
M3 - 会议文章
AN - SCOPUS:85195151468
SN - 1742-6588
VL - 2746
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012014
T2 - 14th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2023
Y2 - 22 December 2023 through 24 December 2023
ER -