DocumentCode
2081742
Title
A fault diagnosis method for diesel engine based on Adaptive Network-based Fuzzy Inference System
Author
Duan Wei-Wu ; Song Yi-Bin
Author_Institution
Sch. of Comput. Sci. & Technol., Yantai Univ., Yantai, China
fYear
2010
fDate
29-31 July 2010
Firstpage
3842
Lastpage
3845
Abstract
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.
Keywords
backpropagation; diesel engines; fault diagnosis; fuel systems; fuzzy set theory; inference mechanisms; mechanical engineering computing; neural nets; BP neural network; Matlab Fuzzy Toolbox; adaptive network-based fuzzy inference system; diesel engine; fault diagnosis method; fuel injection system; fuzzy logic inference system; neural network; Adaptation model; Adaptive systems; Artificial neural networks; Decision making; Diesel engines; Fault diagnosis; MATLAB; ANFIS; Diesel Engine; Fault Diagnosis;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2010 29th Chinese
Conference_Location
Beijing
Print_ISBN
978-1-4244-6263-6
Type
conf
Filename
5572446
Link To Document