A Fault Diagnosis Method for Diesel Engine Based on Adaptive Network-based Fuzzy Inference System

被引：0

作者：

Duan Wei-Wu ^{[1
]}

Song Yi-Bin ^{[1
]}

机构：

[1] Yantai Univ, Sch Comp Sci & Technol, Yantai 264005, Shandong, Peoples R China

来源：

PROCEEDINGS OF THE 29TH CHINESE CONTROL CONFERENCE | 2010年

关键词：

ANFIS; Fault Diagnosis; Diesel Engine;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Combines fuzzy logic inference system with Neural Network, a fault diagnosis method for diesel engine based on Adaptive Network-based Fuzzy Inference System (ANFIS) is studied. The theory and arithmetic and structure of this system are introduced, and a fault model for the fuel injection system of a diesel engine is built with the help of Matlab Fuzzy Toolbox. Simulation results demonstrate that the proposed approach can efficiently diagnose the faults and is better than the fault diagnosis method based on BP neural network.

引用

页码：3842 / 3845

页数：4