Research on Faults Diagnosis System of an Air to Ground Missile Based on Wavelet Neural Network

摘要

The ordinary missile auto-test system has such defects as faults orientation slow, high fault value, database modification hardly and so on. In order to overcome such defects, an faults diagnosis system based on wavelet neural network is designed. The correlative theories of wavelet are introduced, the wavelet neural network structure is analyzed, the network is trained and tested. The tested results illustrate that the system has such advantages as faster execution speed, exact faults orientation, it has widely application foreground.