Avionics sensor fault diagnosis based on rough set and neural network

The avionics sensor system is a complex system. It is difficult to diagnose avionics sensor fault by using traditional method. The diagnostic method based on neural network and rough set is presented. The continuous data of avionics sensor system are discretized by Kohonen network. It applies the rough set theory to discover knowledge of discrete measure data. It builds the neural network to forecast the sensor output data. It gives the diagnose result by analyzing the neural network output and avionics sensor real-time output. The simulation and application show that the method is feasible and available.