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

机译:基于重要组成识别的复杂机械和电子产品可靠性建模

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摘要

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.
机译:作为产品架构的核心,复杂机械和电子产品的重要组成部分在产品开发,设计和制造过程中具有重要意义。然而,提出了一种基于这一点从大量组件识别重要组件,提出了基于复杂网络的重要组件识别方法。首先,建立组件之间的关系的加权和定向复杂网络(WDCN)。然后,修改的LeaderRank算法用于识别网络中的重要节点;该算法显示了低计算复杂性和高计算效率。最后,使用古典疾病爆发模型,SIR(易感染性回收),用于验证鉴定结果的正确性。在复杂电动鼓风机产品的情况下,使用所提出的方法鉴定重要组分,最终结果显示了该方法的有效性。这种识别为复杂机械和电子产品的可靠性和质量的戏剧性提高奠定了坚实的基础。

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