Research of Fault Diagnosis Technology Based on Rough Set - neural Network
Qing Xi Hu · Journal of Hubei Institute for Nationalities · 2005
In this paper presents a new method based on Rough Set - neural Network. It uses rough set theory to enrich data and extract the mapping rules from the sample data. Then exploiting rough set neural network describe the extracted rules, the approach to construct the exact mapping between input state - space and output space is presented. The example of power electronic circuits, the model can decrease the number of the network input nerve cells effectively. The results show that the strategy has better study efficiency and diagnosis accuracy. It is estimated that the optimized strategy may be further applied in fault diagnosis.