The Research of Improved BP Neural Network in Automobile Sensor Fault Diagnosis

Wenqin Xu
2016 International Journal of Control and Automation  
Fault control diagnosis object of automobile sensor has the problems of big space dimension of fault sample data and poor real-time capability of fault diagnosis, etc, in order to solve these problems, this text introduces static fuzzy control method to diagnose automobile fault based on BP neural network, first finding fault node by static fuzzy self-learning method and classifying and diagnosing intelligently by BP network. Experiments show that method in this paper improves the accuracy of
more » ... tomobile sensor fault diagnosis and reduces diagnosis error, thus improves the recognition and decision-making ability of diagnosis. Second group 0.4815 0.0751 0.0885 0.0483 0.4524 Third group 0.6625 0.0287 0.0913 0.0472 0.3482
doi:10.14257/ijca.2016.9.7.22 fatcat:cvei5i2iurb3xjc5kg3ut3g54u