A complex network-based importance measure for mechatronics systems

Yanhui Wang, Lifeng Bi, Shuai Lin, Man Li and Hao Shi

Physica A: Statistical Mechanics and its Applications, 2017, vol. 466, issue C, 180-198

Abstract: In view of the negative impact of functional dependency, this paper attempts to provide an alternative importance measure called Improved-PageRank (IPR) for measuring the importance of components in mechatronics systems. IPR is a meaningful extension of the centrality measures in complex network, which considers usage reliability of components and functional dependency between components to increase importance measures usefulness. Our work makes two important contributions. First, this paper integrates the literature of mechatronic architecture and complex networks theory to define component network. Second, based on the notion of component network, a meaningful IPR is brought into the identifying of important components. In addition, the IPR component importance measures, and an algorithm to perform stochastic ordering of components due to the time-varying nature of usage reliability of components and functional dependency between components, are illustrated with a component network of bogie system that consists of 27 components.

Keywords: Mechatronics system; Complex network; Importance measure; Improved-PageRank (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:466:y:2017:i:c:p:180-198

DOI: 10.1016/j.physa.2016.09.006

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