The Research of Diesel Engine Fault Diagnosis with ANN Based on Rough Sets Theory
Longbing Cao · Transactions of Csice · 2002
The core content of rough sets theory is introduced and the discrete method of continuous attribute value based on kohonen neural network is given.Rough sets theory is used to simplify attribute parameter reflecting operating conditions of diesel engine and in which unnecessary properties are eliminated.Fault diagnosis model and learning rule of RBF ANN is studied.Fault diagnosis principle and step of RBF ANN based on rough sets theory is given.Through automatic fault classification and diagnosis for plunger abrasion fault in fuel injection system of diesel engine,the example shows that this system reduces input node number and overcomes some shortcomings,such as neural network scale is too large and the rate of classification is slow.