Design of intelligent detection and diagnosis system for diesel vehicle exhaust
HUANG Wanyou
ZOU Yujian
TAN Shiwei
GUO Yajing
CHU Ruixia
LIU Dongying
Abstract：In order to improve the accuracy of fault diagnosis of diesel vehicle emissions,based on the improved GA-BP neural network model,a diesel vehicle exhaust detection and diagnosis system is designed based on the real vehicle detection exhaust data obtained by loading deceleration method and free acceleration method,and the real vehicle experiment is carried out to test the diagnostic accuracy.The results show that the designed intelligent diagnosis system for diesel vehicles has high accuracy of 95%,and short system update time of 10 minutes.It has greatly improved the accuracy of fault diagnosis of diesel vehicle emissions exceeding standards,realized intelligent diagnosis.
Keywords：diesel vehicle exhaust gas detectiondiesel vehicle fault diagnosisGA-BP neural network
Publication Date：2023-12-28
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：9( 52-60 )