Role of multi-response principal component analysis in reliability-based robust design optimization: an application to commercial vehicle design
Role of multi-response principal component analysis in reliability-based robust design optimization: an application to commercial vehicle design
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DOI：
10.1007/s00158-018-1908-4
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发表时间：
2018-08-01
影响因子：
3.9
通讯作者：
Lee, Jongsoo
中科院分区：
文献类型：
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作者：
Lim, Juhee;Jang, Yong Sok;Lee, Jongsoo
田口方法是一种广泛使用的稳健设计方法，它将实验设计与质量损失函数相结合。然而，这种方法只能用于单响应问题。在这项研究中，我们提出了使用主成分分析（PCA）考虑多响应问题的田口方法，并调查驾驶室悬架系统的影响因素。我们计算每个响应的归一化质量损失，并执行PCA来计算多响应性能指数。在本研究中，控制因素与三个水平组合和噪声因素与随机抽样的每个正态分布。此外，我们应用基于多目标可靠性的稳健设计优化（RBRDO），以适应设计不确定性及其数据分散的基础上合理的概率方法。这是用来开发的可靠性评估和基于可靠性的设计优化，并对应于一个综合的方法，占的设计鲁棒性的目标函数和可靠性的约束。
The Taguchi method is a widely used conventional approach for robust design that combines experimental design with quality loss functions. However, this method can be only used in a single-response problem. In this study, we propose the use of principal component analysis (PCA) to consider multi-response problems in the Taguchi method and to investigate the influence factor of a cab suspension system. We compute the normalized quality loss for each response and perform PCA to calculate the multi-response performance index. In this study, control factors with three level combinations and noise factors with random sampling from each normal distribution are considered. Additionally, we applied multi-objective reliability based robust design optimization (RBRDO) to accommodate design uncertainties and its data scattering based on rational probabilistic approaches. This is used to develop the reliability assessment and reliability based design optimization and corresponds to an integrated method that accounts for the design robustness in the objective function and reliability in the constraints.