کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5103293 1480107 2017 19 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A complex network-based importance measure for mechatronics systems
ترجمه فارسی عنوان
یک سیستم پیچیده مبتنی بر شبکه برای سیستم های مکاترونیک
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات فیزیک ریاضی
چکیده انگلیسی
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.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Physica A: Statistical Mechanics and its Applications - Volume 466, 15 January 2017, Pages 180-198
نویسندگان
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