DocumentCode
1488561
Title
The Integrated Importance Measure of Multi-State Coherent Systems for Maintenance Processes
Author
Si, Shubin ; Dui, Hongyan ; Cai, Zhiqiang ; Sun, Shudong
Author_Institution
Minist. of Educ. Key Lab. of Contemporary Design & Integrated Manuf. Technol., Northwestern Polytech. Univ., Xi´´an, China
Volume
61
Issue
2
fYear
2012
fDate
6/1/2012 12:00:00 AM
Firstpage
266
Lastpage
273
Abstract
This paper mainly focuses on the integrated importance measure (IIM) of component states for maintenance processes. To describe the impact of each component state in maintenance processes, a maintenance cost function of multi-state systems is defined at first. Second, considering the probability distributions, transition rates of the component states, and system maintenance costs, the IIM of component states is described. The corresponding characteristics of the IIM of the component states are discussed in both series systems and parallel systems. Then the relationships between IIM and Griffith importance, Wu importance, mean absolute deviation, and multi-state redundancy importance measures are also discussed. At last, a numerical example is given to demonstrate the IIM of component states. The results show that IIM can be used to identify the most important component state for the maintenance decision.
Keywords
costing; maintenance engineering; statistical distributions; Griffith importance; Wu importance; integrated importance measure; maintenance cost function; maintenance process; mean absolute deviation; multistate coherent system; multistate redundancy importance measure; multistate system; parallel system; probability distribution; series system; system maintenance cost; Computer integrated manufacturing; Magnetic resonance imaging; Maintenance engineering; Redundancy; Silicon; System performance; Component states; integrated importance measure; maintenance cost; multi-state systems;
fLanguage
English
Journal_Title
Reliability, IEEE Transactions on
Publisher
ieee
ISSN
0018-9529
Type
jour
DOI
10.1109/TR.2012.2192017
Filename
6179572
Link To Document