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Risk-Based Predictive Maintenance for Safety-Critical Systems by Using Probabilistic Inference
Joint Authors
Xu, Tianhua
Wang, Haifeng
Yuan, Tangming
Tang, Tao
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-08-26
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Risk-based maintenance (RBM) aims to improve maintenance planning and decision making by reducing the probability and consequences of failure of equipment.
A new predictive maintenance strategy that integrates dynamic evolution model and risk assessment is proposed which can be used to calculate the optimal maintenance time with minimal cost and safety constraints.
The dynamic evolution model provides qualified risks by using probabilistic inference with bucket elimination and gives the prospective degradation trend of a complex system.
Based on the degradation trend, an optimal maintenance time can be determined by minimizing the expected maintenance cost per time unit.
The effectiveness of the proposed method is validated and demonstrated by a collision accident of high-speed trains with obstacles in the presence of safety and cost constrains.
American Psychological Association (APA)
Xu, Tianhua& Tang, Tao& Wang, Haifeng& Yuan, Tangming. 2013. Risk-Based Predictive Maintenance for Safety-Critical Systems by Using Probabilistic Inference. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1032479
Modern Language Association (MLA)
Xu, Tianhua…[et al.]. Risk-Based Predictive Maintenance for Safety-Critical Systems by Using Probabilistic Inference. Mathematical Problems in Engineering No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1032479
American Medical Association (AMA)
Xu, Tianhua& Tang, Tao& Wang, Haifeng& Yuan, Tangming. Risk-Based Predictive Maintenance for Safety-Critical Systems by Using Probabilistic Inference. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1032479
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1032479