Tolerance neural net fault diagnosis system based on rough set
Junwei Wang · Jisuanji gongcheng yu sheji · 2006
Rough set and neural network once plays an important role in fault diagnosis and so on,but there exist some limits when they are simply applied.On the other hand,because they are complementary,the superiority of rough set and neural net were amalgamed,and rough set-tolerance neural net fault diagnosis system was put forward.The reductions from crude date on rough sets theory was driven,and the minimal diagnosis rule was gat,then rough set-tolerance neural net fault diagnosis system was built.This system to the fault diag-nosis of rolling bearings was applied.Simulation results indicate that the system has increased the quality and rate of diagnosis,and can eliminate the effects of misinformation and failing to report on the quality of diagnosis in fault diagnosis.