模糊神经Petri网在管道故障诊断中的应用  

Application of Fuzzy Neural Petri Net in Pipeline Fault Diagnosis

作　　者：李玉森[1] 郭思文[1] 

机构地区：[1]青岛科技大学自动化学院,山东青岛266042

出　　处：《管道技术与设备》2008年第5期17-18,共2页Pipeline Technique and Equipment

摘　　要：针对模糊Petri网在故障诊断中缺乏较强的自学习能力的缺点,将人工神经网络引入到模糊Petri网中,定义一种模糊神经Petri网,应用于天然气长输管道故障诊断,对过程中的故障诊断进行建模,通过分析说明该方法的可行性。Focused on that fuzzy Petri net lack of strong self-learning ability in fault diagnosis, proposes to introduce artificial neural networks to the fuzzy Petri net , and defines a kind of fuzzy neural Petri net. Then it models a fault diagnosis process based on the example of natural gas pipeline and shows the feasibility of the method based on analyses.

关 键 词：PETRI网 模糊理论 神经网络 管道 故障诊断 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]