TY - JOUR
T1 - Research on trend prediction model of engine vibration
AU - Wang, Yankai
AU - Ma, Jinrui
AU - Liao, Mingfu
AU - Cheng, Yong
PY - 2014/6
Y1 - 2014/6
N2 - This paper presents the method of aero-engine vibration prediction, starting from aero-engine prognostic and health management (PHM). Firstly, the method of vibration prediction based on the model is proposed. At the same time, the physical meanings of trend item, stochastic volatility item and noise jamming item are defined. Secondly, the periodic oscillation model, linear vibration model, and step change vibration model are built to describe three typical fault situations. Thirdly, the model-selected method and test criterion are summarized. Finally, three groups of measured data are used to verify the correctness and engineering practicability of this method.
AB - This paper presents the method of aero-engine vibration prediction, starting from aero-engine prognostic and health management (PHM). Firstly, the method of vibration prediction based on the model is proposed. At the same time, the physical meanings of trend item, stochastic volatility item and noise jamming item are defined. Secondly, the periodic oscillation model, linear vibration model, and step change vibration model are built to describe three typical fault situations. Thirdly, the model-selected method and test criterion are summarized. Finally, three groups of measured data are used to verify the correctness and engineering practicability of this method.
KW - Aero-engine
KW - Body vibration
KW - Test criterion
KW - Trend prediction model
UR - http://www.scopus.com/inward/record.url?scp=84904462265&partnerID=8YFLogxK
M3 - 文章
AN - SCOPUS:84904462265
SN - 1004-6801
VL - 34
SP - 516
EP - 523
JO - Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
JF - Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis
IS - 3
ER -