Journal of Shanghai Jiaotong University ›› 2017, Vol. 51 ›› Issue (7): 886-891.

Previous Articles     Next Articles

 Remaining Useful Life Prediction for Hybrid Degradation System

 DU Dangboa,HU Changhuaa,SI Xiaoshenga,ZHANG Zhengxina,ZHANG Weib   

  1. a. Department of Automation;  b. Department of Information,
    Rocket Force University of Engineering, Xi’an 710025, China
  • Online:2017-07-31 Published:2017-07-31
  • Supported by:
     

Abstract:   In this paper, a hybrid Wienerbased model with stochastic and deterministic parameters is proposed for the degradation path involves an additive of linear and nonlinear part. The remaining useful life (RUL) is an approximant rendered in an explicit form based on the concept of the first hitting time (FHT), and the stochastic and deterministic parameters are estimated by Kalman filter and maximum likelihood estimation method respectively. At last, the effectiveness of the proposed method is proved by the gyro testing data.

Key words:  , degradation modeling; hybrid degradation systems; remaining useful life (RUL)

CLC Number: