Analysis of Fault Diagnosis Based on One Advanced Discernibility Function Reduction Algorithm

Rough sets theory can eliminate the redundant and imprecise information effectively and correctly in fault diagnosis, which improve the real time and has much advantage of transforming afterwards and regular equipment logistics support to real-time logistics support. So the research on equipment fault diagnosis based on rough sets theory has much signification. The paper applies one advanced reduction algorithm based on discernibility function to some aero radio equipment´s fault diagnosis according to the deficiency of familiar attribution reduction algorithm based on discernibility function. The results show the algorithm can not only diagnose effectively and correctly but save much time.