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Soft fault diagnosis of analog circuit based on integrated adaptive fuzzy neural network

机译:基于集成自适应模糊神经网络的模拟电路软故障诊断

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摘要

The paper solves the fault diagnosis problem with the integrated neural network theory. It introduces a design consisting of a plurality of adaptive fuzzy neural network consisting of an integrated structure classifier, namely a plurality of multiple input single output fuzzy adaptive network integration, application for tolerance analog circuit soft fault diagnosis The simulation experiment indicates that this method can diagnose and locate the fault in analog circuits quickly and effectively , solve the single network fault diagnosis deficiencies, solve the problem of fault diagnosis process of sample the lack of classification problems.
机译:本文采用集成神经网络理论解决了故障诊断问题。介绍了一个由多个自适应模糊神经网络组成的设计,该神经网络由一个集成的结构分类器组成,即多个多输入单输出模糊自适应网络集成,在容错模拟电路软故障诊断中的应用仿真实验表明该方法可以诊断并快速有效地定位模拟电路中的故障,解决了单网故障诊断的不足,解决了故障诊断过程中样本缺乏分类问题的问题。

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