摘要
基于瞬时无功功率信号分析的异步电动机转子断条故障检测方法,当电压发生波动时其调幅波的频率分量会反映于瞬时无功功率信号的频谱中,进而对该类检测方法的准确性造成不利影响。利用奇异值分解技术和Frobenius范数比的方法从原始电压信号中提取波动信号,提出了电压波动系数的概念,以此量化电压波动的大小。该系数还可以反映电压波动对该类检测方法影响的程度;进一步,以是否影响该类检测方法为判据,推导出了异步电动机的电压波动系数的阈值。在进行基于瞬时无功功率信号分析的转子断条故障检测之前,首先对电压信号做波动分析以判断电压波动是否影响故障检测,使传统方法更加可靠,数据仿真和实验结果证明该方法是切实可行的。
Based on instantaneous reactive power signal analysis, the rotor bar fault detection method of asynchronous motor was presented. It is pointed out that the frequency component of amplitude modulation wave would be reflected in the instantaneous reactive power signal spectrum when the voltage fluctuates, and accuracy of this kind of detection method would be adversely affected. The fluctuation signal from the original voltage signal was extracted by singular value decomposition technique and Frobenius norm ratio method, and the concept of voltage fluctuation coefficient was proposed to quantify the magnitude of voltage fluctuation. The coefficient can also reflect the influence of voltage fluctuation on this kind of detection method;Furthermore, the threshold value of voltage fluctuation coefficient of asynchronous motor was derived based on whether it affects this kind of detection method. Before the fault detection of broken rotor bars based on instantaneous reactive power signal analysis, the voltage signal fluctuation analysis was conducted to determine whether the voltage fluctuation affects the fault detection, which makes the traditional method more reliable. The data simulation and experimental results prove that this method is feasible.
作者
许伯强
陈思远
谢子峰
陈经伟
XU Bo-qiang;CHEN Si-yuan;XIE Zi-feng;CHEN Jing-wei(School of Electrical and Electric Engineering,North China Electric Power University,Baoding 071003,China;State Grid Hengshui Electric Power Supply Company,Hengshui 053000,China)
出处
《电机与控制学报》
EI
CSCD
北大核心
2022年第9期9-17,共9页
Electric Machines and Control
基金
国家自然科学基金(51277077)。
关键词
异步电动机
转子断条
瞬时无功功率
电压波动
波动系数
奇异值分解
asynchronous motor
broken rotor bar
instantaneous reactive power
voltage fluctuation
fluctuation coefficient
singular value decomposition
