点击次数：

所属单位：民航学院

发表刊物：2017 INTERNATIONAL CONFERENCE ON SENSING, DIAGNOSTICS, PROGNOSTICS, AND CONTROL (SDPC)

关键字：Remaining useful lifetime wiener-process degradation model aero-engines

摘要：In this paper, we address a wiener-process degradation model to estimate the remaining useful lifetime of aero-engines. The measurement error and unit-to-unit variability are taken into account in the proposed degradation model and the RUL estimation is derived by the concept of first hitting time. Typically, the unknown parameters of the degradation model were estimated based on historical degradation data. This paper presents a Bayesian framework to estimate the unknown parameters by using the historical lifetime data. Once the newly monitored degradation data of aero-engine are obtained, the parameters of the degradation model and the remaining useful lifetime estimation are updated by using the Kalman filter algorithm. Lastly, the proposed model is demonstrated on CFM56 series aero-engines, and the results show that our proposed model can reduce the uncertainty and improve the accuracy of remaining useful lifetime estimation.

是否译文：否

发表时间：2017-01-01

合写作者：Xie, Jiwei

通讯作者：刘君强