电控CNG发动机模糊故障诊断策略研究  

Research on fuzzy fault diagnosis strategy for electronically controlled CNG Engine

作　　者：张莉 苏晓芳 陈娜娜[2] Zhang Li;Su Xiaofang;Chen Nana(Beijing City University,Beijing,101300;Tianjin Electromechanical vocational and technical college,Tianjin,300350)

机构地区：[1]北京城市学院,北京101300 [2]天津机电职业技术学院,天津300350

出　　处：《电子测试》2022年第16期44-46,共3页Electronic Test

摘　　要：根据电控CNG发动机故障原因与故障症状的不确定对应关系,引入模糊推理策略进行研究。建立模糊故障诊断模型,包括知识库的建立和知识的表示;根据模糊逻辑推理策略进行分析,引入隶属度函数和模糊矩阵;以电控CNG发动机故障实例具体说明模糊故障诊断过程的实现。实验证明,模糊推理结论符合实际诊断结果。According to the uncertain correspondence between fault cause and fault symptom of electronic-controlled CNG engine,fuzzy reasoning strategy is introduced to study it.Establishing fuzzy fault diagnosis model,including knowledge base and knowledge representation;According to the fuzzy logic reasoning strategy,membership function and fuzzy matrix are introduced.The realization of fuzzy fault diagnosis process is illustrated by an example of electronically controlled CNG engine fault.Experiments show that the conclusion of fuzzy reasoning accords with the actual diagnosis result.

关 键 词：电控CNG发动机 诊断策略 知识库 模糊推理 

分 类 号：U2701[机械工程—车辆工程]