Integrated importance measure of component states based on loss of system performance

Shubin Si, Hongyan Dui, Xibin Zhao, Shenggui Zhang, Shudong Sun

科研成果: 期刊稿件文章同行评审

104 引用 (Scopus)

摘要

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.

源语言英语
文章编号6144044
页(从-至)192-202
页数11
期刊IEEE Transactions on Reliability
61
1
DOI
出版状态已出版 - 3月 2012

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