说明：  以三相桥式全控整流器为模型电路，以各类故障状态下的三相交流侧输入电流谐波数据为故障特征，选取自组织特征映射神经网络(SOM)为故障识别算法，对得到的谐波数据进行编程分析识别，通过多次学习和训练，对各类元器件故障进行精确分类，从而建立起故障诊断数据库和查询途径，完成对各类故障的检测。
(Taking the three-phase bridge full control rectifier as the model circuit, the three-phase AC side input current harmonic data under various fault conditions as the fault characteristics, and the self-organizing feature mapping neural network (SOM) as the fault identification algorithm, the obtained harmonic data are programmed, analyzed and identified. Through repeated learning and training, the faults of various components are accurately classified, and the fault diagnosis model is established Diagnosis database and query way, complete the detection of all kinds of faults.)