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Research On Multi-examinations Method Fusion Based On Dempster-Shafer evidential theory And BP Artificial Neural Network On Failure Diagnosis For Military Electronic Equipment Module

机译:基于Dempster-Shafer证据理论和BP人工神经网络的军工电子设备模块故障诊断多测试方法融合研究

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摘要

The main repair means to military electronic equipment module is to replace the failure modules by new ones,according to this, by analyzing the characteristics of electronic module in the failure diagnosing process, a way which based on Dempster-Shafer (D-S) evidential theory And BP Artificial Neural Network was presented to fusing the characteristics information to find the failure electronic module. In this way, two methods and two fusing levels was introduced in the multi-examination methods fusion course of failure diagnosis for electronic equipment module. At last,an instance was given to certify that the method to the failure diagnosis for military electronic equipment module is feasible.
机译:军事电子设备模块的主要维修手段是根据故障诊断过程中电子模块的特点,通过分析电子模块的特性,以新的替换故障模块,以此为基础,基于证据理论。提出了BP人工神经网络融合特征信息以查找故障电子模块。以此方式,在电子设备模块故障诊断的多检验方法融合过程中引入了两种方法和两种融合水平。最后,通过实例验证了该方法在军用电子设备模块故障诊断中的可行性。

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