鼠笼式异步电机转子故障程度诊断方法  

Rotor Fault Severity Diagnosis of Squirrel-cage Induction Motors

作　　者：盛玉霞[1] 肖翔 柴利[1] SHENG Yu-xia;XIAO Xiang;CHAI Li(Engineering Research Center of Metallurgical Automation and Measurement Technology,Wuhan University of Science and Technology,Wuhan 430081,China)

机构地区：[1]武汉科技大学冶金自动化与检测技术教育部工程研究中心,湖北武汉430081

出　　处：《控制工程》2021年第1期149-154,共6页Control Engineering of China

基　　金：国家自然科学基金项目(61625305,61471275)。

摘　　要：针对异步电机启动阶段转子断条故障检测问题,提出了一种基于同步压缩小波变换SWT的瞬态电流特征分析方法,通过时频分布图来判断转子是否存在故障。在此基础上,通过曲线拟合的方法给出了导条电阻与SWT系数能量谱之间的关系,进一步给出了确定故障预警值和报警值的方法。最后提出了一种判断故障程度的指标。采用Ansoft Maxwell软件建立笼型异步电机故障仿真模型,仿真实验结果表明,该方法能有效地诊断转子不对称故障并评估出故障程度。A SWT based transient current signature analysis method is proposed for the rotor broken bar fault diagnosis of induction motors in start-up period.The rotor fault is diagnosed by analyzing the time-frequency distribution.The relationship between conducting bar resistance and power spectrum of SWT coefficients is obtained by curve fitting method.Then fault precaution value and alarm value are is calculated.Finally,a fault severity evaluation index is proposed.Simulation model of squirrel-cage induction motors fault is established by Ansoft Maxwell.The simulation results show that the proposed method can diagnose the rotor asymmetry fault and evaluate the fault severity efficiently.

关 键 词：故障诊断 MCSA SWT 曲线拟合 Ansoft Maxwell 

分 类 号：TN911[电子电信—通信与信息系统]