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.
出处
《管道技术与设备》
CAS
2008年第5期17-18,共2页
Pipeline Technique and Equipment