CAJ | 학술논문

提出了一种奇异值分解( SVD)滤波技术与Prony谱线估计算法相结合的异步电动机转子断条故障检测的新方法. SVD滤波技术可以理想地滤除电机定子电流信号中的基频分量与有色噪声,从而凸显转子断条故障特征频率分量. Prony谱线估计算法可以准确计算出各特征分量的频率和幅值,且不失高频谱分辨能力. 将二者结合即可在短时采样信号条件下准确、有效地提取转子断条故障特征频率分量. 对一台异步电机进行试验,结果表明:基于SVD滤波技术与Prony谱线估计算法的异步电动机转子断条故障检测方法效果理想.
제출료일충기이치분해( SVD)려파기술여Prony보선고계산법상결합적이보전동궤전자단조고장검측적신방법. SVD려파기술가이이상지려제전궤정자전류신호중적기빈분량여유색조성,종이철현전자단조고장특정빈솔분량. Prony보선고계산법가이준학계산출각특정분량적빈솔화폭치,차불실고빈보분변능력. 장이자결합즉가재단시채양신호조건하준학、유효지제취전자단조고장특정빈솔분량. 대일태이보전궤진행시험,결과표명:기우SVD려파기술여Prony보선고계산법적이보전동궤전자단조고장검측방법효과이상.
A new method for detecting broken rotor bar fault ( BRB) in asynchronous motors was proposed which was based on singular value decomposition ( SVD) filter and Prony spectrum line estimation algorithm. Simulations of BRB showed that the SVD filter could effectively filter the fundamental component and the color noise from motor stator current signals, which highlights the BRB fault feature component. The results showed that Prony spectrum line estimation could accurately calculate the frequencies and the amplituded of the broken rotors bar feature components with the ability of high spectral resolution. By combining the two methods listed above cluld extract fault feature frequencies accurately and effectively in short sampling signals. Thus, the experimental results of an induction motor showed that the method based on SVD and Prony spectrum line estimation had a desirable performance.