%0 Journal Article
%T 基于高阶神经网络的电力变换器滤波故障诊断方法设计<br>Design of Filtering Fault Diagnosis Method for Power Converter Based on High-Order Neural Network
%A 刘子幸
%A 王子赟
%A 王艳
%A 纪志成
%J Artificial Intelligence and Robotics Research
%P 90-96
%@ 2326-3423
%D 2019
%I Hans Publishing
%R 10.12677/AIRR.2019.82011
%X <p align=\"justify\">
	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。<br />
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.
</p>
%K 高阶神经网络，电力变换器，故障诊断<br>High-Order Neural Network
%K Power Converter
%K Fault Diagnosis
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=30386