摘要
在多状态系统中,由于性能退化、局部失效等原因,系统或元件会表现出从完全失效到完美工作之间的一系列过渡状态,这些过渡状态信息将直接影响系统的可靠性。针对这一问题,提出一种模糊着色Petri网模型,该模型通过对模糊状态及状态变迁进行建模来刻画多状态系统的可靠性特征。在这种模糊着色Petri网模型中,变迁阈值会随着节点状态模糊信息的动态变化而发生变化,为此提出自适应模糊推理算法进行阈值调整,为多状态系统模型的可靠性分析及性能优化提供指导。通过对多状态系统可靠性分析进行验证,表明研究提出的模糊着色Petri网及参数调整策略合理有效,有利于提高多状态系统整体性能。
In the multi-state system,due to the performance degradation,partial failure,system or component may exsit a series of middle states between the perfect state and the failure state,these middle states will influence the system reliability directly.According to the problem,the fuzzy-colored Petri nets was put forward.The model fully characterized the multi-state reliability through fuzzy state information and the dynamic transition between state nodes.In the fuzzy-colored petri nets,the weighted threshold will change with the dynamic change of fuzzy information and node state.So the adaptive fuzzy reasoning algorithm of threshold adjustment was proposed,which provides sufficient model guidance for multi-state system reliability analysis and the performance optimization.Multi-state reliability is verified,which shows that the fuzzy-colored petri nets and the parameter adjustment strategy are reasonable and effective,and the overall performance of the multi-state system is improved.
出处
《计算机科学》
CSCD
北大核心
2016年第11期77-82,101,共7页
Computer Science
