CAJ | 학술논문

针对电力电子电路的故障,分析了故障产生的特征类型,提出了基于分形理论及BP网络故障诊断的方法.以三相整流桥路为例,利用分形理论建立了故障元与分形维数之间的关系,对故障信息做预处理.通过仿真试验提取出用于BP神经网络训练的学习样本,并构建了用于不同类故障的三层BP神经网络结构,继而确定故障点.
침대전력전자전로적고장,분석료고장산생적특정류형,제출료기우분형이론급BP망락고장진단적방법.이삼상정류교로위례,이용분형이론건립료고장원여분형유수지간적관계,대고장신식주예처리.통과방진시험제취출용우BP신경망락훈련적학습양본,병구건료용우불동류고장적삼층BP신경망락결구,계이학정고장점.
The feature types of fault occurred in power electronic circuit are analyzed. The methods of fractal theory and back propagation (BP) neural network are proposed. In three-phase rectifier bridge circuit, the relationship between the fault element and the fractal dimension of fault information are set up to do preprocessing. The learning samples for training BP neural network is obtained by simulating the different fault types of thyristors in the rectifier, and the three-layer BP neural networks for different fault types are constructed. Then the point of fault is also determined.