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作 者:古斌 胡骏奔 GU Bin;HU Junben(School of Electrical and Electronic Engineering,Shanghai Institute of Technology,Shanghai 201418,China)
机构地区:[1]上海应用技术大学电气与电子工程学院,上海201418
出 处:《应用技术学报》2024年第2期203-207,共5页Journal of Technology
摘 要:电机电流特征分析已成为一种广泛应用于感应电机故障诊断的技术,然而,它的工业应用面临着现实问题。其最具挑战性的问题之一是即使在严重故障下供电频率分量的谱泄漏仍可以掩盖住故障特征谐波的谱分量。对于这个问题已经提出了不同的解决方案,例如使用滑动窗口、高级谱估计技术等。然而,这些方法只改变了当前信号的频谱含量或是增加了计算量。基于此,提出了一种新的方法,通过对时域电流采样信号简单的补零,实现对电流的频谱细化,并能较精确地估算出实际的供电频率,然后可提取几乎无泄漏的原始频谱。基于Matlab的信号测试验证了该方法的有效性。Motor current characteristic analysis has become a widely used technology for fault diagnosis of induction motors.However,its industrial applications face practical problems.One of the most challenging scenarios is that the spectral components of the fault characteristic harmonics can be covered by the spectral leakage of the power supply frequency component even under severe faults.Different solutions to this problem have been proposed,such as the use of sliding windows,advanced spectrum estimation methods,etc.However,these methods merely change the spectrum content of the current signal or increase the amount of computation.Base on it,a new method was proposed to refine the spectrum analysis of the current by simply zeroing the time-domain current sampling signal,which can accurately estimate the actual power supply frequency,and then extract the original spectrum with almost no leakage.The effectiveness of the proposed method was verified by Matlab signal test.
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