基于模糊Petri网的压缩机故障诊断  

Compressor Fault Diagnosis Based on Fuzzy Reasoning Petri Nets

作　　者：徐小来[1] 王莉[1] 杨维群[1] 

机构地区：[1]空军工程大学导弹学院,陕西三原713800

出　　处：《压缩机技术》2005年第3期16-18,共3页Compressor Technology

摘　　要：针对压缩机故障诊断系统知识具有不确定性和模糊性的特点,给出了基于模糊产生式规则的模糊Petri网模型和反向推理算法,并以Ⅰ级压力过低故障诊断为例,说明了该模型具有直观,表达能力强和易于推理的优点。<Abstrcat>This paper represents a Fuzzy Petri Net model and reverse-reasoning algorithm which are based on fuzzy production rule aiming at the uncertainty and fuzziness of Faults Diagnosis System's knowledge. For the case of low first stage pressure of compressor, the result of fault diagnosis shows that the model is intuitionistic, strongly expressive and easy to reason.

关 键 词：模糊推理Petri同 故障诊断 压缩机 

分 类 号：TH45[机械工程—机械制造及自动化] TP206.3[自动化与计算机技术—检测技术与自动化装置]