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基于废气排放和工况参数信息融合的内燃机失火故障诊断
引用本文:吴义虎,宫唤春,岳文辉,侯志祥,袁翔,宋丹丹.基于废气排放和工况参数信息融合的内燃机失火故障诊断[J].电工标准与质量,2007(1).
作者姓名:吴义虎  宫唤春  岳文辉  侯志祥  袁翔  宋丹丹
作者单位:长沙理工大学汽车与机械工程学院 湖南长沙410076(吴义虎,宫唤春,侯志祥,袁翔,宋丹丹),湖南科技大学机械工程学院 湖南湘潭411201(岳文辉)
基金项目:湖南省自然科学基金杰出青年项目(01jzy2102),湖南科技大学机械设备健康维护省重点实验室开放基金资助项目
摘    要:提出一种利用内燃机排气中HC,CO2,O2浓度和内燃机工况参数信息融合的内燃机失火故障诊断方法,并提出描述内燃机失火程度的模糊评价指标,进行内燃机有失火故障和无故障排气成分检测对比实验,通过RBF神经网络建立失火程度评价指标与排气中HC,CO2,O2浓度以及内燃机工况参数之间关系的诊断模型.仿真分析结果表明,此模型能正确诊断内燃机失火故障.

关 键 词:内燃机  失火  径向基函数  故障诊断  信息融合

I.C. Engine misfire faults diagnosis based on information fusion for exhaust emission and work parameters
WU Yi-hu,GONG Huan-chun,YUE Wen-hui,HOU Zhi-xiang,YUAN Xiang,SONG Dan-dan.I.C. Engine misfire faults diagnosis based on information fusion for exhaust emission and work parameters[J].Journal of Changsha University of Electric Power(Natural Science Edition),2007(1).
Authors:WU Yi-hu  GONG Huan-chun  YUE Wen-hui  HOU Zhi-xiang  YUAN Xiang  SONG Dan-dan
Affiliation:WU Yi-hu1,GONG Huan-chun1,YUE Wen-hui2,HOU Zhi-xiang1,YUAN Xiang1,SONG Dan-dan1
Abstract:An information fusion method for misfire faults diagnosis of internal combustion engine with exhaust density of HC,CO2,O2 and an engine's operation parameters are presented in this paper.And fuzzy describing the misfire degree is also introduced.The engine's exhaust emission with misfire fault and without fault is tested.A diagnosis model which describing the relationship between the misfire degree,the exhaust emission and some operation parameters is established based on Radial Basis Function(RBF) neural network.Simulation results show that the diagnosis model can be used to diagnose internal combustion engine misfire faults.
Keywords:Internal combustion engine  misfire  Radial basis function  Fault diagnosis  Information fusion
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