摘要
通过提取定子电流信号Park矢量图作为电机故障特征 ,应用人工神经网络技术对故障特征进行分类与识别 ,从而避开复杂的谱分析技术 ,实验测试结果表明 ,该方法用于电机故障诊断可靠、有效 ,是一种实际可行的电机故障诊断方法。
The paper uses artificial nerve net technology to classify and recognize the characteristic of faults so as to avoid complicated spectrum analyzing technology through extracting Park vector of electronics flow signal. The experiment results show that the method used in diagnosis for motor malfunction reliable and efficiency. So it is a practical diagnosis method for motor malfunction.
出处
《有色设备》
2003年第2期18-20,共3页
Nonferrous Metallurgical Equipment