Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment

Complexity 2020:1-10 (2020)
  Copy   BIBTEX

Abstract

Residual useful lifetime prediction plays a key role of failure prediction and health management in equipment. Aiming at the problems of residual life prediction without comprehensively considering multistage and individual differences in equipment performance degradation at present, we explore a prediction model that can fit the multistage random performance degradation. Degradation modeling is based on the random Wiener process. Moreover, according to the degradation monitoring data of the same batch of equipment, we apply the expectation maximization algorithm to estimate the prior distribution of the model. The real-time remaining life distribution of the equipment is acquired by merging prior information of real-time degradation data and historical degradation monitoring data. The accuracy of the proposed model is demonstrated by analyzing a practical case of metalized film capacitors, and the result shows that a better RUL estimation accuracy can be provided by our model compared with existing models.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 90,593

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Epistemic space of degradation processes.Liu Yang & Antoine Rauzy - 2020 - Journal of Applied Non-Classical Logics 31 (1):1-25.
Prediction of some stochastic events: A regret equalization model.Max S. Schoeffler - 1962 - Journal of Experimental Psychology 64 (6):615.
A 4D Trajectory Prediction Model Based on the BP Neural Network.Lan Ma, Shan Tian & Zhi-Jun Wu - 2019 - Journal of Intelligent Systems 29 (1):1545-1557.

Analytics

Added to PP
2020-12-22

Downloads
3 (#1,519,925)

6 months
2 (#668,348)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references