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一種抑製譜泄漏的感應電機轉子斷條診斷方法

A diagnosis method for rotor broken bar of induction motor with spectral leakage suppression

  • 摘要: 電機電流特征分析已成為一種廣泛應用於感應電機故障診斷的技術🧑🏻‍🦳,然而,它的工業應用面臨著現實問題。其最具挑戰性的問題之一是即使在嚴重故障下供電頻率分量的譜泄漏仍可以掩蓋住故障特征諧波的譜分量。對於這個問題已經提出了不同的解決方案,例如使用滑動窗口、高級譜估計技術等。然而👨🏻‍🦯,這些方法只改變了當前信號的頻譜含量或是增加了計算量🧟。基於此,提出了一種新的方法,通過對時域電流采樣信號簡單的補零,實現對電流的頻譜細化,並能較精確地估算出實際的供電頻率,然後可提取幾乎無泄漏的原始頻譜。基於Matlab的信號測試驗證了該方法的有效性。

     

    Abstract: 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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