Component Importance Measure Computation Method Based Fuzzy Integral with Its Application

Shuai Lin,Limin Jia,Yanhui Wang,Yang Li

doi:10.1155/2017/7842596

Shuai Lin, Limin Jia + Show 2 more

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https://doi.org/10.1155/2017/7842596

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Abstract

In view of the negative impact of component importance measures based on system reliability theory and centrality measures based on complex networks theory, there is an attempt to provide improved centrality measures (ICMs) construction method with fuzzy integral for measuring the importance of components in electromechanical systems in this paper. ICMs are the meaningful extension of centrality measures and component importance measures, which consider influences on function and topology between components to increase importance measures usefulness. Our work makes two important contributions. First, we propose a novel integration method of component importance measures to define ICMs based on Choquet integral. Second, a meaningful fuzzy integral is first brought into the construction comprehensive measure by fusion multi-ICMs and then identification of important components which could give consideration to the function of components and topological structure of the whole system. In addition, the construction method of ICMs and comprehensive measure by integration multi-CIMs based on fuzzy integral are illustrated with a holistic topological network of bogie system that consists of 35 components.

Highlights

Recent decades have witnessed the rapid development on the highly integrated system of electromechanical systems, and the significant progress on the system function [1]
If we use Improved Closeness Centrality (ICC) to identify influential components, the results reveal that V1, V7, and V6 are the most important for bogie system
This paper integrates the literature of mechatronic architecture and complex networks to define holistic topological

Summary

Introduction

Recent decades have witnessed the rapid development on the highly integrated system of electromechanical systems, and the significant progress on the system function [1]. The fault propagation of complex electromechanical systems can enlarge the negative impact due to one of components failures In these situations, it is becoming increasingly important to take functional and topological characteristics into account when assessing the importance of components and concentrating the resources on the small subset of components that are most important to the system. Component importance measures (CIMs) are component related indices that allow security practitioners to identify how a components fault affects the overall behavior or performance of the whole technological system and are used to evaluate the relative importance of a component.

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