摘要
提出一种基于BP神经网络的变频器功率变换主电路故障诊断方法。通过对变频器功率变换主电路的故障类型及原因进行分析，提取了反映故障状态的四个特征参数。利用BP神经网络，采用自适应学习速率动量梯度下降BP算法，实现了故障模式的模式识别。
A method of transducer power electronic circuits fault diagnosis based on BP neural networks is presented. Four characteristic parameters of reflecting fault state are distilled with analysis fault types and reasons of transducer power electronic circuits. Identification of fault mode can be completed utilizing BP neural networks and BP algorithm of adapt learning speed ＆ momentum grads droping.
