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首页> 外文会议>IIAI International Congress on Advanced Applied Informatics >Internal Fault Classification Algorithm in Power Transformer Based on Discrete Wavelet Transform and Fuzzy Logic
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Internal Fault Classification Algorithm in Power Transformer Based on Discrete Wavelet Transform and Fuzzy Logic

机译：基于离散小波变换和模糊逻辑的电力变压器内部故障分类算法

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This paper proposed classification algorithm that combination of wavelet transform and fuzzy logic to classifying the internal fault type in power transform. The decision algorithm process, a structure of the fuzzy logic consists of 4 inputs and 1 output. The maximum ratio of DWT at 1/4 cycle of phase A, B, C is performed as input variables while the output variables are designated corresponding to various types of internal faults. The 50 MVA, 115/23 kV three-phase power transformer has been modelled and simulate to evaluate the performance of proposed algorithm. The results show that the proposed algorithm gives satisfactory results, however, the overall accuracy indicates that this algorithm requires the further improvement.
机译：提出了一种将小波变换和模糊逻辑相结合的功率变换内部故障类型的分类算法。决策算法过程中，模糊逻辑的结构由4个输入和1个输出组成。将A，B，C相的1/4周期的DWT的最大比率作为输入变量，而将输出变量指定为对应于各种内部故障的类型。对50 MVA，115/23 kV三相电力变压器进行了建模和仿真，以评估所提出算法的性能。结果表明，该算法给出了满意的结果，但总体精度表明该算法需要进一步的改进。

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