A complex network-based importance measure for mechatronics systems

Wang, Yanhui; Bi, Lifeng; Lin, Sheng; Li, Man; Shi, Hao

doi:10.1016/j.physa.2016.09.006

Cited by 29 publications

(19 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Gao et al [33] introduced the concept and computational method of fault propagation probability in detail. st is connection strength of edge and is given by [34,35] …”

Section: Methodological Backgroundmentioning

confidence: 99%

Component Importance Measure Computation Method Based Fuzzy Integral with Its Application

Lin

Wang

Jia

et al. 2017

Discrete Dynamics in Nature and Society

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…Gao et al [33] introduced the concept and computational method of fault propagation probability in detail. st is connection strength of edge and is given by [34,35] …”

Section: Methodological Backgroundmentioning

confidence: 99%

Component Importance Measure Computation Method Based Fuzzy Integral with Its Application

Lin

Wang

Jia

et al. 2017

Discrete Dynamics in Nature and Society

Self Cite

View full text Add to dashboard Cite

show abstract

“…As mentioned in previous section, various complex EMSs have been defined by networks, 31,32 which are a set of nodes connected by edges or links. These connections may be mechanical, electrical, or information physical relationships.…”

Section: Network Modeling Of Complex Emssmentioning

confidence: 99%

“…To overcome the limitations caused by the reliability methodologies in Table 1, scholars have developed reliability models from a topological point of view. 31,32 The complex EMS is abstracted as a network model by taking into account physical connections 31 among components, and then reliability is assessed with network theory. With this abstraction, calculations for system reliability of a complex EMS can be transformed to network reliability computations.…”

Section: Introduction and Literature Reviewmentioning

confidence: 99%

Reliability assessment of complex electromechanical systems: A network perspective

Lin

Wang

Jia

et al. 2018

Quality & Reliability Eng

Self Cite

View full text Add to dashboard Cite

The network theory is widely applied to improve the reliability of a complex electromechanical system. In this application, system reliability assessment with network theory has been paid a great deal of attention. Because of instrument malfunctions, staff omissions, imperfect inspection strategies, and complex structures, field failure data are often subject to interval censoring, making the holistic reliability assessment becomes a difficult task. Most traditional methods assume reliability of critical components or partial reliability as system reliability, which may cause a large bias in system reliability estimation. This paper proposes a novel method to evaluate and predict the system reliability of a complex electromechanical system subject to the insufficient fault data problem from a network perspective. First, the system modeling based on network theory is developed to describe the topology of a holistic system. Second, interval-valued intuitionistic hesitant fuzzy number is proposed in order to solve insufficient data for single component. Then, a new measurecomprehensive reliability-that can reflect the reliability of nodes in combination with functional properties and topological properties, which are formulated by failure data and network model, respectively, is constructed for system reliability assessment. Subsequently, an improved system reliability model based on percolation theory is given in terms of comprehensive reliability of nodes. Finally, to verify the effectiveness of the proposed method, a simulation and a real case study for traction system are implemented.

show abstract

“…Wang et al [73] introduced a new class of the concept of importance measure that quantifies the importance of components in mechatronics systems. Precisely, they utilised the literature of mechatronic architecture and graph theory to de ne component network based on the notion of complex networks.…”

Section: Dao and Mcpheementioning

confidence: 99%

An Overview of the Main Topics and Applications of Graph Theoretic Problems in Multiphysics Engineering

Garziad¹,

Saka²

2017

J Appl Mech Eng

View full text Add to dashboard Cite

Graph-theoretic concepts are mostly used to study different applications in various areas such as electrical and mechanical engineering, generally multi-physics systems. The interest of researchers on this theory has importantly increased in the last decade. The main goal of this paper is to provide an overview of the use and applications of graph theoretic concept in modelling and analysis of systems in different fields. Therefore, the research topics discussed in this review are going to respect all the mentioned domains and the countries that apply this theory formulation in addition to the community of researchers who are identified by their publishers.

show abstract

A complex network-based importance measure for mechatronics systems

Cited by 29 publications

References 40 publications

Component Importance Measure Computation Method Based Fuzzy Integral with Its Application

Component Importance Measure Computation Method Based Fuzzy Integral with Its Application

Reliability assessment of complex electromechanical systems: A network perspective

An Overview of the Main Topics and Applications of Graph Theoretic Problems in Multiphysics Engineering

Contact Info

Product

Resources

About