Application of Neural Network in Fault Diagnosis of Anti-Lock Braking System

Wen Xia Zhang; Dong Yang; Yuan Wang; Hua Guo

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

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Application of Neural Network in Fault Diagnosis...

Application of Neural Network in Fault Diagnosis of Anti-Lock Braking System

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

630-633

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.630

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Online since:

October 2013

Authors:

Wen Xia Zhang, Dong Yang, Yuan Wang, Hua Guo

Keywords:

ABS, BP Neural Network (BPNN), Failure Diagnosis, MATLAB Simulation

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References

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