Research on Multi- examination Methods Fusion Based on a Improved BP Artificial Neural Network on Failure Diagnosis for Military Electronic Equipment Module

摘要

The main repair means to military electronic equipment module is to replace the failure module by a new one, according to this, by analyzing the characteristics of electronic equipment function module in the failure diagnosing process, we have presented a way to apply a improved BP artificial neural network in the multi-examination methods fusion course. By contrast the fusion result, the failure electronic module is easy to be found. At last, an instance was given to certify that the method to the failure diagnosis for military electronic equipment module is feasible.