三级式发电机旋转整流器故障特征提取

摘要

The paper presented a fault feature extraction method for rotating rectifie of three-stage generator. It classified the common faults of rectifying tube. The fault model was established and fault signal was obtained through the simulation. The energy eigenvector was obtained from wavelet packet analysis of the fault signal, and then the wavelet reconstructioned the signal, which lay a solid foundation for fault diagnosis of rotating rectifie.%提出了一种基于小波包分析的三级式发电机旋转整流器故障特征提取方法.对整流二极管常见的故障进行了分类,通过建立故障模型,仿真得到故障信号,并对各类故障后电机的励磁电流进行小波包分解、重构,提取能量特征向量,为旋转整流器的故障诊断奠定了基础.