The Application of Neural Network to Missile Fault Diagnosing System

摘要

Based on analyzing the incompleteness and uncertainty of information existing in missile fault diagnosing system, a new fault diagnosis method based on wavelet transform and neural network is proposed. The wavelet transform is used to pre-process data and extract fault feature vectors. The neural network is used to identify fault types. Diagnostic results of instance proved the effectiveness and superiority of the proposed method.