摘要
针对三相可控整流电路的40种故障状态,在对整流输出电压波形特征提取、逻辑处理的基础上,建立了基于BAM神经网络的整流电路故障分类器,对于BAM网络在电力电子电路故障诊断中的应用做了初步的探讨,并且通过仿真验证了故障分类器设计的正确性。
Considering the 40 kinds of faults of 3- pulse wavefoma controlled rectifier device, on the basis of deal of rectifier voltage waveforms and logic processing, fault classifier of rectifier device based on the BAM neural network is proposed, The application of BAM network to power electronic circuits is studied basically, and the simulation results show the effective of this kind classifier.
出处
《煤矿机械》
北大核心
2007年第10期189-191,共3页
Coal Mine Machinery
