Research of Fault Diagnosis Expert System Based on Rough Set and Neural Network
Xianming Xu · Guangzhou Chemical Industry · 2013
For the chemical industry and petrochemical industry,reciprocating compressor was one of the most widely used classes of machine.In order to diagnose the fault of the compressor,a new model for expert system based on rough sets was put forward,which was combined tightly between rough sets and neural network,rough sets was used to not only reduce and optimize the fault diagnosis data,but also prolong and optimize the structure of neural network.The results showed that the expert system had better efficiency and diagnosis accuracy than the other system,so it was estimated that the expert system would be applied in fault diagnosis.