Multi-state component importance analysis using multi-state multi-valued decision diagrams

Author(s):  
Akhilesh Shrestha ◽  
Liudong Xing ◽  
David W. Coit
2021 ◽  
Author(s):  
Nikola Blagojevic ◽  
Max Didier ◽  
Bozidar Stojadinovic

Communities and their supporting civil infrastructure systems can be viewed as an assembly of, often numerous, interacting components. Tools that can identify components relevant for community disaster resilience can help to efficiently allocate limited resources to reach community resilience goals. We use Sobol’ indices to measure the importance of vulnerability and recoverability of components for disaster resilience of communities with interdependent civil infrastructure systems. The initial component importance analysis requires no prior knowledge regarding component’s vulnerability and recoverability. We first rank components based on their importance, using their Sobol’ indices. Secondly, we illustrate how the results of the component importance analysis can be used to improve community disaster resilience. Finally, we use component importance to show how model complexity can be reduced by abstracting less important components.


2011 ◽  
Vol 58-60 ◽  
pp. 529-534 ◽  
Author(s):  
Xin Qi ◽  
De C. Zuo ◽  
Zhan Zhang ◽  
Xiao Zong Yang

Importance measures are widely used to characterize the contribution of components to the system performance such as reliability, availability, risk, etc, and thus give great help in identifying system weaknesses and prioritizing system improvement activities. Although much work has been carried out on component importance analysis, most studies only concern the consistent states of components within which components exhibit consistent performance until state changes happen. Unfortunately, field data shows that many transient faults in components may result in severe consequences without causing any state changes, and, this can lead to a misunderstanding of component importance. This paper focuses on the reliability importance analysis in presence of transient faults, and proposes a composite measure for evaluation. A sample series parallel system is analyzed to illustrate the use of this measure.


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