小波神经网络在三相桥式全控整流装置故障诊断中的应用

The Application of Wavelet Neural Network in The Fault Diagnosis of Three-Phase Bridge Full-Control Rectification Device

本文在自行研制的三相桥式全控整流装置的基础上,引入小波分析与神经网络的手段对实验装置进行特征向量的提取和故障模式的识别,为实验装置设计一个故障智能诊断系统,以实现对装置故障的快速、准确诊断。

Based on the developed three-phase full-control rectification device, this paper introduces measures of wavelet analysis and neural network to acquire the fault characteristics and identify the fault modes of the device. Then, an intelligent diagnosis system is built to diagnose faults of the device quickly and exactly.