高级检索

基于CEEMD的故障诊断方法在变压器绕组故障诊断中的应用

Application of current fault diagnosis method based on CEEMD in transformer winding fault diagnosis

  • 摘要: 针对变压器匝间短路故障初期特征微弱,提出一种基于完全集合经验模态分解(CEEMD)的故障电流分析方法。本文在Matlab/Simulink搭建变压器匝间短路故障仿真模型,模拟不同严重程度匝间短路故障,利用CEEMD算法及香农熵、均方根、能量指标,构建暂态比、稳态比归一化判据。结果证明CEEMD算法能够很好地提取故障信息并具有较好的性能(香农熵比率值以1作为判别阈值,比率大于1判定为变压器发生匝间短路故障等),且计算量小,其能够实现变压器匝间短路故障的检测。

     

    Abstract: To address the issue of weak initial features in transformer inter-turn short-circuit faults, a fault current analysis method based on Complete Ensemble Empirical Mode Decomposition (CEEMD) is proposed. In this paper, a simulation model of transformer inter-turn short circuits is established on Matlab/Simulink to simulate inter-turn short-circuit faults with different severity levels. With the CEEMD algorithm, Shannon entropy, root mean square (RMS) and energy indicators, normalized criteria consisting of transient ratio and steady-state ratio are constructed. The results verify that the CEEMD algorithm can effectively extract fault features and exhibits favorable performance. Specifically, the threshold of the Shannon entropy ratio is set to 1, a ratio greater than 1 indicates the occurrence of transformer inter-turn short-circuit fault. Benefiting from low computational complexity, the proposed method can realize the detection of transformer inter-turn short-circuit faults.

     

/

返回文章
返回