Study of Fault Diagnosis Based on New Rough Set-Neural Networks
基于一种新型粗糙集神经网络的故障诊断*

A new rough set-neural network based on Self Organized Feature Map(SOFM) network is presented in this paper.Rough set theory has powerful capability for qualitative analysis,while SOFM network can approach most problems fast and visualize result easily.By combing those advantages of the two theories,a system flow chart is designed and the work principles of each part are described.The validity of these models is tested by practical examples.The method can decrease the computation time,and visualize the result.Finally,the visualized topology-ordering map is obtained.