基于高阶神经网络的电力变换器滤波故障诊断方法设计
Design of Filtering Fault Diagnosis Method for Power Converter Based on High-Order Neural Network

提出了一种用高阶神经网络算法来诊断电力变换器故障的方法。以Buck变换器的故障诊断为例，设计高阶神经网络的诊断结构。采取Buck变换器在连续电流状态条件下不同工况时刻的电压、电流值作为样本，训练高阶神经网络，从而实现Buck变换器的故障诊断。
A fault diagnosis method for power converter based on high-order neural network algorithm is proposed. Taking the fault diagnosis in Buck converter as an example, a diagnostic structure for high-order neural network is designed. And taking the voltage and current values of Buck converter at different working conditions under the condition of continuous current as samples, the high-order neural network is trained to realize the fault diagnosis of Buck converter.