基于BP神经网络的三相桥式全控整流电路的故障诊断

摘要

随着科技的发展,针对电子技术中的三相桥式全控整流电路中晶闸管容易出现的问题,提出了BP神经网络以解决故障的方法.为了验证此方法有效,利用Matlab软件来对三相桥式全控整流电路建立仿真模型.仿真试验可以得出BP神经网络进行训练的案例,进而得到所有类型的BP神经网络结构的故障.%With the development of science and technology, a BP neural network is proposed to solve the fault problem that the thyristor is prone to occur in the three-phase bridge full-control rectifier circuit in electronic technology. In order to verify the effectiveness of this method, Matlab software is used to establish simulation model of three-phase bridge full control rectifier circuit. The simulation experiments can be used to obtain BP neural network training cases, and then get all types of BP neural network structure failure.