摘要
分析了MUSIC算法及其高分辨率谱估计的特点。提出了一种基于MUSIC算法的异步电动机转子故障检测方法。仿真研究结果表明,在短数据情况下,相对FFT分析技术而言,该方法频率分辨率更高,故障检测更为准确,且计算量小,有利于电机故障实时状态监测。实验证明,将该方法应用于感应电机转子故障检测,可准确检测出转子故障时在定子,电流中的故障特征成分,方法切实可行。
The high-resolution spectral characteristics of MUSIC algorithm were analyzed, and a method for detecting rotor faults in asynchronous motors based on the MUSIC algorithm is presented. Compared with FFT analysis method, it is higher in resolution of frequency, more accurate in fault detection and less in computational complexity, which is useful in real-time monitoring. Experimental results show that the fault characteristic components can be obtained accurately through the method presented in this paper even with small samples when the occurrence of rotor faults in asynchronous motors, and that the feasibility of the method is confirmed.
出处
《中小型电机》
北大核心
2005年第5期56-59,共4页
S&M Electric Machines
