关键词: 多态多值决策图, 集成重要度, 多态系统, 多态故障树分析, 复杂度分析

Abstract: To improve the optimization efficiency and reduce the optimization cost of complex system,an Integrated Importance Measures (IIM) method for Multi-state Fault Tree Analysis (MFTA) was developed based on Multi-state Multi-valued Decision Diagram (MMDD).Through converting the different events into corresponding variables,MFTA was transformed into MMDD.Based on MMDD model,five step integrated importance measure method was given.Two case studies were implemented to demonstrate the effectiveness of presented method.The complexity analysis of cases showed that MMDD-based method was more computationally efficient than Markov Bayesian Networks-based method.

Key words: multi-state multi-valued decision diagram, integrated importance, multi-state system, multi-state fault tree analysis, complexity analysis