论文标题
在模型不完美的情况下，不确定性量化：审查
Uncertainty Quantification in Case of Imperfect Models: A Review
论文作者
论文摘要
复杂技术系统的不确定性量化通常基于系统的计算机模型。由于所有模型，这种计算机模型总是错误的，因为它不能完美地描述现实。本文的目的是对使用观察到的技术系统值的技术进行回顾，以考虑到不确定性量化计算机模型的不足。通过将其应用于机械工程中的应用程序进行了说明，并将其应用于本文中审查的技术。
Uncertainty quantification of complex technical systems is often based on a computer model of the system. As all models such a computer model is always wrong in the sense that it does not describe the reality perfectly. The purpose of this article is to give a review of techniques which use observed values of the technical systems in order to take into account the inadequacy of a computer model in uncertainty quantification. The techniques reviewed in this article are illustrated and compared by applying them to applications in mechanical engineering.
