摘要 提出了一种基于奇异值分解（Singular Value Decomposition,SVD）滤波和快速四阶累积量（Speedy Fourth-Order Cumulants,SFOC）旋转不变信号参数估计技术（Estimation of Signal Parameters via Rotational Invariance Technique,ESPRIT）的异步电动机转子断条故障检测方法。SVD滤波方法可以理想地滤除电机定子电流信号的基频分量与背景噪声,从而凸显转子断条故障特征频率分量;四阶累积量ESPRIT方法可以有效减少噪声干扰、扩展信号阵元并以高频率分辨力提取定子电流信号中的转子断条故障特征频率分量;特别是,将二者结合即可在短时采样信号条件下以高频率分辨力提取转子断条故障特征频率分量。为了改善四阶累积量ESPRIT方法的快速性,提出了精简算法以消除均匀线阵的DOA（direction of arrival）估计中的大量冗余数据,从而大幅减小计算量。转子断条故障检测实验表明：基于SVD和SFOC-ESPRIT的异步电动机转子断条故障检测方法效果良好。
Abstract：A new method for detecting broken rotor bar fault(BRB) in induction motors is proposed which is based on the combination of singular value decomposition(SVD) filter, speedy fourth-order cumulants(SFOC) and estimation of signal parameters via rotational invariance technique (ESPRIT). Simulations of BRB show that SVD filter can effectively filter out the fundamental component and background noise in stator current signals, and thus, highlight the BRB feature component. On the other hand, ESPRIT based on fourth-order cumulants can effectively reduce the noise interference, extend signal array, and hence, extract BRB feature component with a high frequency resolution. Especially, the combination of SVD and ESPRIT based on fourth-order cumulants shows a promising benefit on extracting BRB feature component with a high resolution even with short-time signals available. Additionally, in order to speed up ESPRIT based on fourth-order cumulants, a reduction algorithm is proposed to eliminate redundant data of the uniform linear array DOA(direction of arrival) estimation, thus greatly reducing the calculation amount of this kind of ESPRIT. As a result of this, SFOC-ESPRIT is yielded as a new type of ESPRIT. At last but not least, by combining SVD and SFOC-ESPRIT, a detection method for BRB in induction motors is presented. A series of experiments are conducted to verify the presented detection method.
孙丽玲, 王续, 许伯强. 基于SVD滤波技术与快速四阶累积量ESPRIT算法的异步电动机转子断条故障检测新方法[J]. 电工技术学报, 2015, 30(10): 147-156.
Sun Liling, Wang Xu, Xu Boqiang. A Detection Method for Broken Rotor Bar Fault in Induction Motors Based on SVD and SFOC-ESPRIT. Transactions of China Electrotechnical Society, 2015, 30(10): 147-156.
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