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ANALOG CIRCUIT FAULT MODE CLASSIFICATION METHOD

机译:模拟电路故障模式分类方法

摘要

An analog circuit fault mode classification method comprises the following implementation steps: (1) collecting M groups of voltage signal sample vectors Vij to each of fault modes Fi of the analog circuit by using a data collection board; (2) sequentially extracting fault characteristic vectors VijF of the voltage signal sample vectors Vij by using subspace projection; (3) standardizing the extracted fault characteristic vectors VijF to obtain standardized fault characteristic vectors; (4) constructing a fault mode classifier based on a support vector machine, inputting the standardized fault characteristic vectors, performing learning and training on the classifier, and determining structure parameters of the classifier; and (5) completing determination of fault modes according to fault mode determination rules. The fault mode classifier of the present invention is simple in learning and training and reliable in mode classification accuracy.
机译:一种模拟电路故障模式分类方法,包括以下实现步骤:(1)将M组电压信号采样矢​​量V ij 收集到模拟电路的每个故障模式F i 。使用数据采集板进行电路; (2)利用子空间投影顺序提取电压信号样本矢量V ij 的故障特征矢量V ij F 。 (3)对提取的故障特征向量V ij F 进行标准化,得到标准化的故障特征向量。 (4)基于支持向量机构造故障模式分类器,输入标准化的故障特征向量,对分类器进行学习训练,确定分类器的结构参数; (5)根据故障模式确定规则完成故障模式的确定。本发明的故障模式分类器学习和训练简单,并且模式分类精度可靠。

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