Integrated Importance Measure of Component States Based on Loss of System Performance
Integrated Importance Measure of Component States Based on Loss of System Performance
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DOI：
10.1109/tr.2011.2182394
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发表时间：
2012-03-01
影响因子：
5.9
通讯作者：
Sun, Shudong
中科院分区：
文献类型：
--
作者：
Si, Shubin;Dui, Hongyan;Sun, Shudong
本文主要研究基于系统性能损失的组件状态的综合重要性度量（IIM）。为了描述每个组件状态的影响，我们首先引入多状态系统的性能函数。然后，我们给出了组件状态IIM的定义。我们论证了其相应的物理意义，然后分析了IIM与Griffith重要性、Wu重要性和Natvig重要性之间的关系。其次，我们提出了多状态系统的IIM评估方法。第三，讨论了组件状态的IIM特征。最后，我们演示了一个数值示例，以及 IIM 在海上石油和天然气生产系统中的应用，以验证所提出的方法。结果表明：1）组件状态的IIM不仅关注对象组件状态的概率分布和转移强度，还关注对象组件状态分布变化下系统性能的变化； 2）IIM可用于识别对系统性能影响最大的组件的关键状态。
This paper mainly focuses on the integrated importance measure (IIM) of component states based on loss of system performance. To describe the impact of each component state, we first introduce the performance function of the multi-state system. Then, we present the definition of IIM of component states. We demonstrate its corresponding physical meaning, and then analyze the relationships between IIM and Griffith importance, Wu importance, and Natvig importance. Secondly, we present the evaluation method of IIM for multi-state systems. Thirdly, the characteristics of IIM of component states are discussed. Finally, we demonstrate a numerical example, and an application to an offshore oil and gas production system for IIM to verify the proposed method. The results show that 1) the IIM of component states concerns not only the probability distributions and transition intensities of the states of the object component, but also the change in the system performance under the change of the state distribution of the object component; and 2) IIM can be used to identify the key state of a component that affects the system performance most.