System performance-based joint importance analysis guided maintenance for repairable systems
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 162-175 |
Journal / Publication | Reliability Engineering and System Safety |
Volume | 186 |
Online published | 20 Feb 2019 |
Publication status | Published - Jun 2019 |
Link(s)
Abstract
To enhance system performance, corrective maintenance for failed components and preventive maintenance (PM) for operating components can be performed simultaneously on repairable systems. Due to limited budget, it is typically not practical to perform PM for all the operating system components. Moreover, different selections of components for PM can lead to significant differences in system performance improvements. This paper proposes an extended joint integrated importance measure (JIIM) to effectively guide the selection of PM components, aiming to maximize gains of the system performance. A multi-valued decision diagram (MDD) based method is then developed to evaluate the proposed JIIM for general repairable systems. The computational procedure of MDD and some properties of JIIM are illustrated with a numerical example of a system containing three components. A realistic application to the performance analysis of an aircraft warning system verifies the proposed method.
Research Area(s)
- Corrective maintenance, Importance measure, Multi-valued decision diagram, Preventive maintenance, System performance
Citation Format(s)
System performance-based joint importance analysis guided maintenance for repairable systems. / Dui, Hongyan; Li, Shumin; Xing, Liudong et al.
In: Reliability Engineering and System Safety, Vol. 186, 06.2019, p. 162-175.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review