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Reliability Modeling of Complex Machinery and Electronic Products based on the Identification of Vital Components

Volume 15, Number 1, January 2019, pp. 156-166
DOI: 10.23940/ijpe.19.01.p16.156166

Zhaotong Wang, Yupeng Li, Mengze Li, and Xiaoyu Zhong

Department of Industrial Engineering, School of Mines, China University of Mining and Technology, Xuzhou, 221116, China

(Submitted on October 20, 2018; Revised on November 15, 2018; Accepted on December 10, 2018)

Abstract:

As the core of product architecture, the vital components of complex machinery and electronics products are of great significance in the process of product development, design, and manufacturing. However, it is very difficult to identify the vital components from a large number of components. Based on this, a vital components identification method on the basis of complex networks is proposed. First, the weighted and directed complex network (WDCN) of the relationships between the components is established. Then, the modified LeaderRank algorithm is used to identify the vital nodes in the network; this algorithm has shown low computational complexity and high calculation efficiency. Finally, a classical disease outbreak model, SIR (Susceptible-Infective-Recovered), is used to verify the correctness of the identification results. In the case of complex electric blower products, the vital components are identified using the proposed method, and the final result shows the effectiveness of this method. Such identification lays the firm foundation for the dramatic improvement of the reliability and quality of complex machinery and electronics products.

 

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