Application of neural network in fault diagnosis of Anti-lock braking system

被引：0

作者：

Zhang Wen-xia ^{[1
]}

Yang Dong ^{[1
]}

Wang Yuan ^{[1
]}

Guo Hua ^{[1
]}

机构：

[1] Inner Mongolia Univ, Ordos Coll, Dept Elect Informat Engn, Ordos, Peoples R China

来源：

ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING II, PTS 1-3 | 2013年 / 433-435卷

关键词：

ABS; BP neural network; failure diagnosis; MATLAB simulation;

D O I：

10.4028/www.scientific.net/AMM.433-435.630

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Intelligent diagnosis technology has been one of the hotspot researches with the artificial neural net. Anti-lock braking system (ABS) is an important safety device of automobile. In this paper, using BP neural net, established the fault diagnosis neural net model of ABS, training and diagnosing the net by the fault samples. The results show that this method is feasible. The simulation is done by using MATLAB.

引用

页码：630 / 633

页数：4

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