Designing a complex system generally requires its decomposition into smaller modular constituents for the ease of design, integration, operation, and future upgrades. Typically, system decomposition analysis is conducted using an abstract system model during the initial system design stage. The design structure matrix (DSM) has been a popular tool for abstract system modeling. In the DSM, systems are modeled and decomposed into modular configurations using published clustering algorithms. In this paper, we present a novel approach for system architecture decomposition and modularization based on the DSM, which can incorporate multiple design constraints into clustering algorithms. Two clustering algorithms are modified to accommodate the system design constraints. The modified algorithms are used to decompose a static inverter (SIV) of an electrical train into modular configurations that include various design constraints. Finally, the results and analysis of the SIV modularization using new modified clustering algorithms are presented.

中文翻译：

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具有多个设计约束的复杂系统的基于设计结构矩阵的模块化方法

设计复杂的系统通常需要将其分解为较小的模块化组件，以便于设计，集成，操作和将来的升级。通常，系统分解分析是在初始系统设计阶段使用抽象系统模型进行的。设计结构矩阵（DSM）已成为用于抽象系统建模的流行工具。在DSM中，使用已发布的聚类算法对系统进行建模并将其分解为模块化配置。在本文中，我们提出了一种基于DSM的系统架构分解和模块化的新方法，该方法可以将多个设计约束合并到聚类算法中。修改了两种聚类算法以适应系统设计约束。修改后的算法用于将电气列车的静态逆变器（SIV）分解为包含各种设计约束的模块化配置。最后，介绍了使用新的改进聚类算法进行SIV模块化的结果和分析。