Attributes extraction in fault diagnosis of gearbox based on the theory of rough sets

Based on the theory of rough sets,the discernibility matrix and the discernibility function are used to the attributes reduction for the fault diagnosis of gearbox. The application results show that the distinct attributes for fault identification are extracted and the inner redundancy of decision table is revealed, which is in favor of faults diagnosis using the artificial neural network(ANN) further.