Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model
Joint Authors
Gao, Hongli
Wen, Juan
Zhang, Jiangquan
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-26
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Prognostic is an essential part of condition-based maintenance, which can be employed to enhance the reliability and availability and reduce the maintenance cost of mechanical systems.
This paper develops an improved remaining useful life (RUL) prediction method for bearings based on a nonlinear Wiener process model.
First, the service life of bearings is divided into two stages in terms of the working condition.
Then a new prognostic model is constructed to reflect the relationship between time and bearing health status.
Besides, a variety of factors that cause uncertainties toward the degradation path are considered and appropriately managed to obtain reliable RUL prediction results.
The particle filtering is utilized to estimate the degradation state, qualify the uncertainties, and predict the RUL.
The experimental studies show that the proposed method has a better performance in RUL prediction and uncertainty management than the exponential model and the linear model.
American Psychological Association (APA)
Wen, Juan& Gao, Hongli& Zhang, Jiangquan. 2018. Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model. Shock and Vibration،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1215228
Modern Language Association (MLA)
Wen, Juan…[et al.]. Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model. Shock and Vibration No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1215228
American Medical Association (AMA)
Wen, Juan& Gao, Hongli& Zhang, Jiangquan. Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model. Shock and Vibration. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1215228
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1215228