Research on RUL prediction method for state space systems based on auxiliary particle filtering algorithm

Jingshuai Cao; Qiang Qin; Hao Li

doi:10.1117/12.2691923

23 August 2023 Research on RUL prediction method for state space systems based on auxiliary particle filtering algorithm

Jingshuai Cao, Qiang Qin, Hao Li

Author Affiliations +

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 1278439 (2023) https://doi.org/10.1117/12.2691923
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

In this paper, a generalised Wiener process model with drift coefficients is investigated to characterise the degeneracy of the system state. The model analysis is carried out for the time-discrete sampling characteristics, the relationship between the model parameters is investigated, and a state-incremental statistical analysis method is applied to solve the model parameters. System state degradation trajectory is predicted based on the auxiliary particle filtering, and the lifetime prediction model of the Wiener stochastic process is constructed for the remaining useful life (RUL) prediction based on the predicted actual state degradation. A numerical example is given to illustrate the implementation of the proposed RUL estimation method, demonstrating the effectiveness of the method for remaining useful life estimation.

Citation Download Citation

Jingshuai Cao, Qiang Qin, and Hao Li "Research on RUL prediction method for state space systems based on auxiliary particle filtering algorithm", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 1278439 (23 August 2023); https://doi.org/10.1117/12.2691923

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available