Preventive Maintenance Interval Optimization for Continuous Multistate Systems
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-01-20
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Preventive maintenance (PM), which is performed periodically on the system to lessen its failing probability, can effectively decrease the loss caused by the system breakdown or the performance degradation.
The optimal PM interval has been well studied for both binary-state systems (BSSs) and discrete multistate systems (MSSs).
However, in reality, the performance of many systems can change continuously, ranging from complete failure to perfect functioning.
Considering such characteristics of systems, two types of performance-based measures, performance availability and probabilistic resilience, are addressed to quantify the system’s behaviour for continuous MSS.
A Monte Carlo-based method is given to analyse the performance change process of the system, and an optimization framework is proposed to find the optimal PM interval with the considerations of per-unit-time cost, system breakdown rate, performance availability, and probabilistic resilience.
A computer cluster is used as an example to illustrate the effectiveness of our proposed method.
American Psychological Association (APA)
Li, Ruiying& Zhang, Xufeng. 2020. Preventive Maintenance Interval Optimization for Continuous Multistate Systems. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194128
Modern Language Association (MLA)
Li, Ruiying& Zhang, Xufeng. Preventive Maintenance Interval Optimization for Continuous Multistate Systems. Mathematical Problems in Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1194128
American Medical Association (AMA)
Li, Ruiying& Zhang, Xufeng. Preventive Maintenance Interval Optimization for Continuous Multistate Systems. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1194128
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194128