Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations
Joint Authors
Zhou, Zhijie
Hu, Changhua
Zhang, Jianxun
Du, Dang-Bo
Si, Xiaosheng
Source
Journal of Control Science and Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-05-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Remaining useful life (RUL) prediction method based on degradation trajectory has been one of the most important parts in prognostics and health management (PHM).
In the conventional model, the degradation data are usually used for degradation modeling directly.
In engineering practice, the degradation of many systems presents a volatile situation, that is, fluctuation.
In fact, the volatility of degradation data shows the stability of system, so it could be used to reflect the performance of system.
As such, this paper proposes a new degradation model for RUL estimation based on the volatility of degradation data.
Firstly the degradation data are decomposed into trend items and random items, which are defined as a stochastic process.
Then the standard deviation of the stochastic process is defined as another performance variable because standard deviation reflects the system performance.
Finally the Wiener process and the normal stochastic process are used to model the trend items and random items separately, and then the probability density function (PDF) of the RUL is obtained via a redefined failure threshold function that combines the trend items and the standard deviation of the random items.
Two practical case studies demonstrate that, compared with traditional approaches, the proposed model can deal with the degradation data with many fluctuations better and can get a more reasonable result which is convenient for maintenance decision.
American Psychological Association (APA)
Du, Dang-Bo& Zhang, Jianxun& Zhou, Zhijie& Si, Xiaosheng& Hu, Changhua. 2018. Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations. Journal of Control Science and Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1183104
Modern Language Association (MLA)
Du, Dang-Bo…[et al.]. Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations. Journal of Control Science and Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1183104
American Medical Association (AMA)
Du, Dang-Bo& Zhang, Jianxun& Zhou, Zhijie& Si, Xiaosheng& Hu, Changhua. Estimating Remaining Useful Life for Degrading Systems with Large Fluctuations. Journal of Control Science and Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1183104
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1183104