摘要
研究笼型异步电动机在转子断条时的运行情况,提出有效的检测方法,以便在电机转子只出现轻微故障时及时检测出故障,采取有效措施。MCSA技术采用时域加窗和傅里叶变换的方法,对电机电流信号进行频谱分析,并对故障频率段局部细化,提取定子电流中故障特征频率分量来诊断电动机是否存在转子断条故障。仿真结果表明本方法可以有效消除频率泄漏和栅栏现象,准确检测出故障分量。
Operation of squirrel-cage asynchronous motor when broken bar occurs is studied. An effective detecting method is put forward to find out the fault even if it is very slight, so measures can be taken in time. MCSA adopts time-windowing and Fourier transform to analyze motor current signature frequency components. Besides, fault frequency band is subdivided locally to get stator current fault characteristic frequency component which can be used to diagnose rotor broken bar. The simulation result shows that it effectively eliminates the frequency leak and barrier phenomena, and detects fault component exactly.
出处
《大电机技术》
北大核心
2010年第5期40-43,共4页
Large Electric Machine and Hydraulic Turbine
关键词
断条
MCSA
频谱
时域加窗
局部细化
broken bar
MCSA
frequency spectrum
time-windowing
local subdivision
