Reliability Analysis with Multiple Dependent Features from a Vibration-Based Accelerated Degradation Test
Joint Authors
Sun, Fuqiang
Liu, Jingcheng
Liao, Haitao
Li, Xiaoyang
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-12-07
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Accelerated degradation testing (ADT) has been widely used for reliability prediction of highly reliable products.
In many applications, ADT data consists of multiple degradation-related features, and these features are usually dependent.
When dealing with such ADT data, it is important to fully utilize the multiple degradation features and take into account their inherent dependency.
This paper proposes a novel reliability-assessment method that combines Brownian motion and copulas to model ADT data obtained from vibration signals.
In particular, degradation feature extraction is first carried out using the raw vibration signals, and a feature selection method quantifying feature properties, such as trendability, monotonicity, and robustness, is adopted to determine the most suitable degradation features.
Then, a multivariate s-dependent ADT model is developed, where a Brownian motion is used to depict the degradation path of each degradation feature and a copula function is employed to describe the dependence among these degradation features.
Finally, the proposed ADT model is demonstrated using the vibration-based ADT data for an electric motor.
American Psychological Association (APA)
Sun, Fuqiang& Liu, Jingcheng& Li, Xiaoyang& Liao, Haitao. 2016. Reliability Analysis with Multiple Dependent Features from a Vibration-Based Accelerated Degradation Test. Shock and Vibration،Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1118859
Modern Language Association (MLA)
Sun, Fuqiang…[et al.]. Reliability Analysis with Multiple Dependent Features from a Vibration-Based Accelerated Degradation Test. Shock and Vibration No. 2016 (2016), pp.1-15.
https://search.emarefa.net/detail/BIM-1118859
American Medical Association (AMA)
Sun, Fuqiang& Liu, Jingcheng& Li, Xiaoyang& Liao, Haitao. Reliability Analysis with Multiple Dependent Features from a Vibration-Based Accelerated Degradation Test. Shock and Vibration. 2016. Vol. 2016, no. 2016, pp.1-15.
https://search.emarefa.net/detail/BIM-1118859
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118859