Efficient surrogate models for reliability analysis of systems with multiple failure modes
Efficient surrogate models for reliability analysis of systems with multiple failure modes
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DOI：
10.1016/j.ress.2011.05.008
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发表时间：
2011-10-01
影响因子：
8.1
通讯作者：
Mahadevan, Sankaran
中科院分区：
文献类型：
--
作者：
Bichon, Barron J.;McFarland, John M.;Mahadevan, Sankaran
尽管在计算可靠性分析领域取得了许多进展，但如何有效地估计具有多个故障模式的系统的可靠性仍然是一个长期的挑战。有多种采样和分析方法可用，但它们通常需要在精度和计算效率之间进行权衡。在这项工作中，提出了一种基于代理的方法，同时解决了准确性、效率和不重要的故障模式的问题。该方法基于高斯过程代理模型的创建，该模型仅在导致系统故障的组件极限状态的区域中被要求局部准确。这种建立代理模型的方法被证明是系统级可靠性分析的一种有效而准确的方法。(C)2011爱思唯尔有限公司。保留所有权利。
Despite many advances in the field of computational reliability analysis, the efficient estimation of the reliability of a system with multiple failure modes remains a persistent challenge. Various sampling and analytical methods are available, but they typically require accepting a tradeoff between accuracy and computational efficiency. In this work, a surrogate-based approach is presented that simultaneously addresses the issues of accuracy, efficiency, and unimportant failure modes. The method is based on the creation of Gaussian process surrogate models that are required to be locally accurate only in the regions of the component limit states that contribute to system failure. This approach to constructing surrogate models is demonstrated to be both an efficient and accurate method for system-level reliability analysis. (C) 2011 Elsevier Ltd. All rights reserved.