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Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment
Joint Authors
Gao, Zhan
Xu, Xiang-yang
Hu, Qi-guo
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-17
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Residual useful lifetime (RUL) prediction plays a key role of failure prediction and health management (PHM) 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 (EM) 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.
American Psychological Association (APA)
Gao, Zhan& Hu, Qi-guo& Xu, Xiang-yang. 2020. Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1144888
Modern Language Association (MLA)
Gao, Zhan…[et al.]. Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1144888
American Medical Association (AMA)
Gao, Zhan& Hu, Qi-guo& Xu, Xiang-yang. Residual Lifetime Prediction with Multistage Stochastic Degradation for Equipment. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1144888
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144888