首页> 外文会议>International Symposium on Test and Measurement;ISTM/2005 >Applied Research On Characteristics Fusion Based On A Improved BP Artificial Neural Network On an Failure Diagnosis For Military Electronic Equipment Module
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Applied Research On Characteristics Fusion Based On A Improved BP Artificial Neural Network On an Failure Diagnosis For Military Electronic Equipment Module

机译:基于改进BP神经网络的特征融合在军事电子设备模块故障诊断中的应用研究

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摘要

The main repair means to military electronic equipment module is to replace the failure module by a new one, according this ,an analysis and pretreatment are made to the failure characteristics in the text, and a method based on a improved BP artificial neural network is used in failure characteristics fusion. By contrast the fusion result, the failure electronic module is easy to be found.. at last, a instance was given to certify that the method to the failure diagnosis for military electronic equipment module is feasible.
机译:军用电子设备模块的主要维修手段是更换新的故障模块,据此对故障特征进行分析和预处理,并采用基于改进的BP人工神经网络的方法。在故障特征融合中。通过对融合结果的对比,可以很容易地找到故障电子模块。最后,通过实例验证了该方法对军用电子设备模块的故障诊断是可行的。

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