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Vibration Monitoring of Converter Transformer by Simplified permutation Entropy

机译:简化排列熵的换流变压器振动监测

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Converter transformer is one of important equipment in the HVDC transmission system. Compared with the ordinary power transformer, the vibration signals of converter transformer always exhibit relatively stronger nonstationary and nonlinear features due to the complicated mechanical structure and current harmonic components. To better analyze the vibration signals obtained from a converter transformer for the condition monitoring work, a simplified permutation entropy (SPE) algorithm is proposed in this paper. The phase space reconstruction of the vibration signal of converter transformer is first built. And then the symbolized sequence of each vector in phase space is recorded. Finally, the normalized information entropy considering sequence weight as SPE value is calculated. The results of vibration signals for a ±500kV converter transformer have shown that, SPE algorithm can effectively extract the signal features, waveform characteristics of the four measurement points are well distinguished. SPE has the advantages of stable inter-class distinction ability and high flexibility, and it also reaches a much faster calculation speed compared with traditional permutation entropy (PE) algorithm, thus can provide a new reference for vibration monitoring of converter transformer.
机译:换流变压器是高压直流输电系统中的重要设备之一。与普通电力变压器相比,由于复杂的机械结构和电流谐波分量,换流变压器的振动信号总是表现出较强的非平稳和非线性特性。为了更好地分析从换流变压器获得的振动信号以进行状态监测工作,本文提出了一种简化的置换熵(SPE)算法。首先建立换流变压器振动信号的相空间重构。然后记录相空间中每个向量的符号序列。最后,计算将序列权重作为SPE值的归一化信息熵。对于±500kV换流变压器的振动信号结果表明,SPE算法可以有效地提取信号特征,可以很好地区分四个测量点的波形特征。 SPE具有稳定的类间区分能力和较高的灵活性,与传统的置换熵算法相比,计算速度更快,可以为换流变压器的振动监测提供新的参考。

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