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废气排放成分的汽油机失火故障RBF神经网络诊断
引用本文:吴义虎,宫唤春,岳文辉,侯志祥,袁翔.废气排放成分的汽油机失火故障RBF神经网络诊断[J].湖南科技大学学报(自然科学版),2007,22(2):77-80.
作者姓名:吴义虎  宫唤春  岳文辉  侯志祥  袁翔
作者单位:1. 长沙理工大学,汽车与机械工程学院,湖南,长沙,410076
2. 湖南科技大学,机械工程学院,湖南,湘潭,411201
基金项目:湖南省杰出青年科学基金,湖南省重点实验室基金
摘    要:提出了一种利用排气中HC、CO2和O2浓度诊断车用汽油机失火故障的诊断方法及描述汽油机失火故障的模糊评价指标,利用实验数据和RBF神经网络建立了该指标与排气中HC、CO2和O2浓度间关系的模型,应用MATLAB软件对该模型进行学习训练,将训练好的神经网络模型应用于汽油机失火故障的诊断,结果表明,此模型能正确诊断汽油机失火故障.图2,表2,参8.

关 键 词:汽油机  失火度  径向基函数  诊断
文章编号:1672-9102(2007)02-0077-04
收稿时间:2006-11-01
修稿时间:2006-11-01

A Research on Gasoline Engine Misfire Fault Diagnosis Based on Exhaust Emission and RBF Neural Network
WU Yi-hu,GONG Huan-chun,YUE Wen-hui,HOU Zhi-xiang,YUAN Xiang.A Research on Gasoline Engine Misfire Fault Diagnosis Based on Exhaust Emission and RBF Neural Network[J].Journal of Hunan University of Science & Technology(Natural Science Editon),2007,22(2):77-80.
Authors:WU Yi-hu  GONG Huan-chun  YUE Wen-hui  HOU Zhi-xiang  YUAN Xiang
Abstract:A method for diagnosis of misfire fault in gasoline engine based on exhaust density HC, CO2 and O2 was presented,and a fuzzy figure describing the misfire degree was also introduced. A model which describing the relationship between the misfire degree and the gasoline engines exhaust emission was established based on RBF neural network, and the model was trained by test data and MATLAB software. The model was used to diagnosis gasoline engine misfire fault, the result illustrates that this diagnosis model is suitable. 2figs.,2tabs.,8refs.
Keywords:gasoline engine  misfire degree  radial basis function  diagnosis Biography:WU Yi-hu  male  born in 1962  Dr  professor  optimization combustion control of internal combustion engines  
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