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Research on Fault Diagnosis Method of Board-level Circuit Based on Genetic Algorithm

机译:基于遗传算法的板级电路故障诊断方法研究

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With the continuous development of technology, the structure of electronic circuit board is more complicated than in the past, the failure mode and failure mechanism are tend to be diversified, so that the maintenance of electronic circuit board is complicated, high requirements for maintenance personnel, and the time cost is high. However, the neural network can be used to diagnose the failure of the nonlinear complex system in the actual project. Therefore, the advantage of neural network in the field of intelligent diagnosis is taken in this paper, combined with genetic algorithm, an intelligent fault diagnosis method is proposed based on electronic circuit board parts. The test shows that the method has high accuracy.
机译:随着技术的不断发展,电子电路板的结构比以往更加复杂,故障模式和故障机理趋于多样化,从而使电子电路板的维护变得复杂,对维护人员的要求很高,而且时间成本很高。然而,在实际项目中,神经网络可用于诊断非线性复杂系统的故障。因此,本文利用神经网络在智能诊断领域的优势,结合遗传算法,提出了一种基于电子线路板零件的智能故障诊断方法。测试表明该方法具有较高的准确性。

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