Title :
The research of fault diagnosis for fuel injection system of diesel engine with ANN based on rough sets theory
Author :
Cao, Longhan ; Cao, Changxiu ; Zhen Guo ; Li, Jianyong
Author_Institution :
Dept. of Commun. Power Supply, Chongqing Commun. Inst., China
Abstract :
The core content of rough set theory is introduced, and the discrete method of continuous attribute value based on the Kohonen neural network is given. The rough set theory is used to simplify the attribute parameter reflecting operating conditions of a diesel engine, and a RBF neural network is used to realize automatic fault classification and fault diagnosis for the fuel injection system of a diesel engine. The example is shown that the system´s ANN input node number can be reduced.
Keywords :
autoregressive processes; fault diagnosis; internal combustion engines; radial basis function networks; rough set theory; AR model; Kohonen neural network; continuous attribute value; diesel engine; fault diagnosis; fuel injection system; radial basis function neural nets; rough set theory; Artificial neural networks; Automation; Diesel engines; Educational institutions; Fault diagnosis; Fuels; Intelligent control; Neural networks; Power supplies; Rough sets;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1022141
