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

作　　者：刘子幸 王子赟 王艳 纪志成 

机构地区：[1]江南大学,物联网技术与应用教育部工程中心,江苏无锡

出　　处：《人工智能与机器人研究》2019年第2期90-96,共7页Artificial Intelligence and Robotics Research

摘　　要：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.

关 键 词：高阶神经网络 电力变换器 故障诊断 

分 类 号：TP39[自动化与计算机技术—计算机应用技术]