The application of rough set theory and artificial neural networks for Diesel Engine Fault Diagnosis
Jingyi Tian · Mechanical Management and Development · 2012
For study problems of extracting characteristics of the parameters of Diesel Engine Fault Diagnosis to achieve optimal testing points,this paper combined together the rough set theory and artificial neural networks,As aresult of optimizing and reduce input vector of the nerve network and cutting down the network of training and execution time,finally improve the accuracy and efficiency of the diesel engine fault diagnosis.