Importance Analysis of Multi-State System Based on Incompletely Specified Data by Multi-Valued Decision Diagrams

Author(s):  
Peter Sedlacek ◽  
Jan Rabcan ◽  
Jozef Kostolny
2020 ◽  
Vol 14 ◽  
Author(s):  
Yuhuan Gong ◽  
Yuchang Mo

: In a multi-state system, either the entire system or its components will have more than two states. Different kind of multi-state systems have been investigated, such as multi-state series-parallel systems, multi-state k-out-of-n systems and multi-state linear consecutive-k-out-of-n systems. Performability analysis is concerned with the calculation of probability distribution of different system performance levels. In this paper, multi-valued decision diagram (MDD) based approaches are discussed to conduct the performability analysis of multi-state systems. Examples are provided to illustrate the use of MDD approaches for three types of multi-state systems, e.g. multi-state seriesparallel systems, multi-state k-out-of-n systems and multi-state linear consecutive-k-out-of-n systems. The empirical results show that the MDD approaches have lower computational complexity than the traditional methods in model generation and evaluation.


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