Intelligent Diagnosis System for Vehicle Network Based on BP Neural Network

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Ma, Jingya^1,2 ; Li, Dongchang^1,2 ; Lu, Yang^1,2 ; Chen, Jihuan^3

Nari Group Corporation State Grid Electric Power Research Institute, Nanjing

100085, China^1

Beijing Kedong Electric Power Control System Co., Ltd, Beijing

100085, China^2

Zhejiang Electric Power Corporation, Hangzhou

310007, China^3

关键词: Adaptive capabilities;    BP neural networks;    Information network system;    Intelligent diagnosis system;    Multiple data sources;    Network fault diagnosis;    Network faults;    Vehicle network;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/4/042004/pdf
DOI  :  10.1088/1757-899X/452/4/042004

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

In view of the huge information network system of the Internet of Vehicles and the difficulty of network fault location, a BP neural network-based method is proposed to establish an intelligent diagnosis system for the vehicle network. The system combines multiple data sources and uses its adaptive capabilities to analyse fault information present in the current network. At the same time, in order to ensure the superiority of BP neural network, the training set data addition interface is added, and the BP neural network is continuously updated to improve the effectiveness of network fault diagnosis.