基于模糊概率Petri网系统的故障诊断仿真研究

Research on fault diagnosis simulation based on fuzzy probability Petri nets system

利用面向对象思想、高级Petri网技术、模糊及概率理论,建立了一种描述复杂系统故障关系的模型。着重介绍了基于该模型的故障诊断仿真控制策略,包括控制层策略和操作层策略。讨论了该模型的网元素实现,定义了5个库所类、5个变迁类、1个模糊概率Petri对象类、1个模糊概率Petri对象类的派生类和3个Token对象类,并给出了基于该模型的故障诊断仿真算法。最后,介绍了基于该模型的故障诊断仿真系统设计,并以简单的仿真实验验证了模型及仿真算法的适用性。

A model of Fuzzy Probability Petri Nets System （FPPNS） which depicting fault propagation relationships in complex system was presented by making use of object-oriented concepts, advanced Petri nets technology, fuzzy theory and probability theory. In the model, the fault diagnosis control strategy based on FPPNS was discussed in particular including control layer strategy and operation layer strategy. The nets elements implementation of the FPPNS was studied. Moreover, 5 place classes, 5 transition classes, 1 fuzzy probability Petri class, 1 derivative class of fuzzy probability Petri class, and 3 token classes were defined. The simulation algorithm of fault diagnosis based on the FPPNS was also provided. Finally, the system design of fault diagnosis based on the FPPNS was described, and then a simulation experiment based on the practical application was used to demonstrate the applicability of the model and the simulation algorithm.