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Application of Improved EMD Threshold Algorithm in the Study of the Electric Life State of the AC Contactor

机译:改进的EMD阈值算法在交流接触器电寿命研究中的应用

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The condition monitoring signal of electrical life of AC contactors has characteristics such as non-linear, non-stationary and strong background noise. The premise and basis for the accurate establishment of the assessment model of the electrical life of AC contactors is how to accurately extract the characteristic parameters of electrical life signals. Therefore, it is of great significance for the study of AC contactors’ electrical life to preproccess its characteristic parameters of electrical life signals. Adopting traditional soft and hard methods cannot remove the noise effectively, therefore, a new threshold function can be proposed, and further model the wavelet threshold denoising theory to research the threshold denoising method of empirical mode decomposition (EMD), denoise the main parameters which can influence the state of AC contactors. The experimental results show that adopting the improved EMD threshold algorithm can effectively remove the noise, and it is better than adopting wavelet threshold method or empirical mode decomposition alone.
机译:交流接触器的电气寿命状态监测信号具有非线性,不平稳,背景噪声强等特点。准确建立交流接触器电气寿命评估模型的前提和基础是如何准确提取电气寿命信号的特征参数。因此,对交流接触器的电气寿命进行研究,对其电气寿命信号的特征参数进行预处理具有重要意义。采用传统的软硬方法不能有效地去除噪声,因此,可以提出一种新的阈值函数,并进一步对小波阈值去噪理论进行建模,以研究经验模态分解(EMD)的阈值去噪方法,对可以消除噪声的主要参数进行去噪。影响交流接触器的状态。实验结果表明,采用改进的EMD阈值算法可以有效地去除噪声,优于单独采用小波阈值法或经验模态分解法。

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