Considering the problem to diagnose incipient faults in nonlinear analog circuits, a novel approach of fault feature-extracting based on HMFT (high order moment fractional transform) of the component parameter change is proposed. Firstly, the equivalence circuit model is established according to the topological structure and the voltage sensitivity of the circuit under test (CUT). Then the HMFT of component parameter changes are derived, which are used as fault features. Finally, using the extracted features, incipient fault diagnosis is accomplished. The simulations illustrate the proposed method and show its effectiveness in the incipient fault recognition capability.

中文翻译：

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基于高阶矩分数变换的非线性模拟电路早期故障诊断

针对非线性模拟电路中早期故障的诊断问题，提出了一种基于元件参数变化的HMFT（高阶矩分数阶变换）的故障特征提取新方法。首先，根据被测电路（CUT）的拓扑结构和电压灵敏度建立等效电路模型。然后推导出组件参数变化的HMFT，作为故障特征。最后，利用提取的特征，完成早期故障诊断。仿真说明了所提出的方法，并表明其在初期故障识别能力方面的有效性。