基于IPD小波包分析的感应电动机双重故障诊断  

Double-Faults of Induction Motor Diagnosis Based on IPD via Wavelet Packet Analysis

作　　者：刘进[1] 王莉[1] 王轩[1] 

机构地区：[1]空军工程大学,陕西西安710051

出　　处：《微特电机》2012年第12期23-26,共4页Small & Special Electrical Machines

摘　　要：针对感应电动机转子断条和定子匝间短路双重故障诊断存在诸多不足之处,提出用小波包分解单相瞬时功率(IPD)的故障诊断方法。以单相瞬时功率为研究对象,建立转子断条和定子匝间短路双重故障模型。通过IPD频谱分析,验证故障特征频率;用小波包变换分解IPD信号得到节点系数的变化情况,计算节点系数的均方根值变化率。仿真结果证明双重故障特征频率在IPD频谱中表现明显,小波包变换后得到的节点系数均方根值(RMS)变化率可以诊断故障。利用小波包分解IPD信号诊断双重故障,方法简单可行,为双重故障诊断提供了新的方法思路。For many deficiencies that exist in induction motor rotor bar broken faults and stator winding faults diagno- sis, a method based on instantaneous power decomposition via wavelet packet was introduced. By analyzing the instantaneous power decomposition and characteristic of the faults frequency, the double fauhs model was built. The node characteristic of faults frequency was extracted using wavelet packet, and the faults were diagnosed using the node rate. Simulations show that the instantaneous power decomposition includes rich information about the double faults, and the wavelet packet analysis can easily extract the characteristic of the faults. The RMS rate can be used to diagnose the double faults. This method is effec- tive, and easily to be used in engineering.

关 键 词：感应电动机 双重故障 单相瞬时功率频谱 小波包分析 均方根值变化率 

分 类 号：TM346[电气工程—电机]