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基于BP神经网络的汽车制动系故障诊断方法研究
引用本文:郭海龙.基于BP神经网络的汽车制动系故障诊断方法研究[J].广东交通职业技术学院学报,2008,7(4):49-52.
作者姓名:郭海龙
作者单位:广东交通职业技术学院,广东,广州,510650
摘    要:为了更好地研究汽车制动系故障诊断方法,在汽车制动系统故障因果关系分析的基础上。利用BP神经网络相关理论,确立了汽车制动系故障神经网络模型结构,建立了3层BP网络模型。进一步应用Matlab软件对模型进行了计算实现,并对计算结果进行了分析,结果表明该模型适用性强、效果良好。

关 键 词:汽车  制动系统  故障诊断  BP神经网络

Study on Automobile Braking System Faults Diagnose Methods Based on BP Neural Network
GUO Hai-long.Study on Automobile Braking System Faults Diagnose Methods Based on BP Neural Network[J].Journal of Guangdong Communication Polytechnic,2008,7(4):49-52.
Authors:GUO Hai-long
Institution:GUO Hai-long (Guangdong Communications Polytechnicl,Guagnzhou 510650,China)
Abstract:In order to research the faults diagnose method of automobile braking system,this paper analyzes the relationship between reasons and results of automobile's braking system faults.By using BP neural network theory,this paper establishes the structure of automobile braking system faults neural network,and sets up the three-layer BP neural network model. Furthermore, model's calculation is executed by means of Matlab software,and the calculation results are analyzed, the results indicated that the model is no...
Keywords:automobile  braking system  faults diagnose  BP neural network  
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