Research on fault diagnosis of some aero electronic equipment based on Rough Sets Theory

There are so many redundant and disordered information in fault diagnosis, which influence the efficiency and real-time seriously. Rough set has much more superiority of processing incomplete and incorrect information, which could resolve this problem. The paper introduces the decision table and Discernibility Matrix and then analyses the attributive reduction algorithm of decision table based on Discernibility Matrix. The results show that fault diagnosis is correct and credible through applying this algorithm to some aero electronic equipment, which has much military applied value.