Analysis of Fault Diagnosis Based on The Two Discernibility Matrix Reduction Algorithms

There are incompleterness and uncertained infromation in fault diagnosis of military aircraft,which increase the difficulty of real-time diagnosis.Rough sets theory has much more superiority of processing uncomplete and uncorrect information.The paper introduces the knowledge expression system and discernibility matrix,and then analies the two attributive reduction algorithms of decisiontable based on discernibility matrix.The results show that the two algorithms can reduce the data and the fault diagnosis are correct through applying these two algorithms to some aero equipments.By comparing with the complex degree of the two algorithms,it can be induced that the attribute reduction algorithm has the higher real-time and is more advisable in practical fault diagnosis.