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An integrated module partition approach for complex products and systems based on weighted complex networks

机译:基于加权复杂网络的复杂产品和系统的集成模块分区方法

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The modularisation strategy can dramatically shorten the lead time and reduce the cost of complex products and systems (CoPS) development. Module partition is the basis of the modularisation. Because of the high technical content and multi-dimensional complexity of CoPS, the existing module partition approach cannot identify the module of CoPS effectively and efficiently. The complex network is introduced to visually represent the CoPS as their topological structures are very similar. The weights of the edges in the weighted complex network (WCN) are brought to illustrate the correlation strengths among components. An integrated approach is proposed in this article by modelling the CoPS module partition problem as the community detection problem of WCN. Firstly, the CoPS component-WCN is constructed and transformed to a multi-graph. Secondly, the modified GN algorithm is adopted to establish the community detection, namely module partition of CoPS. Finally, a module partition case example of a large tonnage crawler crane expounds that the proposed approach is effective and systematic to solve the CoPS module partition problem.
机译:模块化策略可以大大缩短交付周期并降低复杂产品和系统(CoPS)开发的成本。模块划分是模块化的基础。由于CoPS的技术含量高和多维复杂性,现有的模块划分方法无法有效地识别CoPS的模块。引入复杂的网络以直观地表示CoPS,因为它们的拓扑结构非常相似。利用加权复杂网络(WCN)中的边缘权重来说明组件之间的相关强度。本文通过将CoPS模块分区问题建模为WCN的社区检测问题,提出了一种集成方法。首先,构建CoPS组件WCN并将其转换为多图。其次,采用改进的GN算法建立社区检测,即CoPS的模块划分。最后,以大吨位履带起重机的模块划分案例为例,说明所提出的方法对于解决CoPS模块划分问题是有效且系统的。

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