A New DGA Based Transformer Fault Diagnosis Scheme Suitable for Time-Series Fault Data

Yongliang Liang; Kejun Li

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A New DGA Based Transformer Fault Diagnosis Scheme Suitable for Time-Series Fault Data

机译：一种适用于时序故障数据的基于DGA的新型变压器故障诊断方案

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The quality of original data is crucial to the performance of diagnosis model. To improve the performance of transformer diagnosis model based on Dissolved Gas Analysis (DGA), a new diagnosis scheme suitable for time-series dissolved gas data is proposed in this paper. After the analysis of traditional transformer diagnosis architecture, a fault data extraction step is added to the architecture to improve the quality of original fault data. The fault data extraction step is mainly composed of two parts, invalid data correction and determination of possible initial fault time based on fault early warning. Finally, the numerical results validate that the accuracy and sensitivity of DGA based fault diagnosis for the transformer are improved by extracting fault feature of time-series data.

机译：原始数据的质量对于诊断模型的性能至关重要。为了提高基于溶解气体分析（DGA）的变压器诊断模型的性能，提出了一种适用于时间序列溶解气体数据的新诊断方案。在分析了传统的变压器诊断架构之后，在架构中增加了故障数据提取步骤，以提高原始故障数据的质量。故障数据提取步骤主要由两部分组成：无效数据校正和根据故障预警确定可能的初始故障时间。最后，数值结果验证了通过提取时序数据的故障特征可以提高基于DGA的变压器故障诊断的准确性和灵敏度。

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《Journal of Residuals Science & Technology》 |2017年第0期|共页
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Yongliang Liang; Kejun Li;
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2. A Fuzzy Diagnostic System for Incipient Transformer Faults Based on DGA of the Insulating Transformer Oils [J] . Ibrahim B. M. Taha, Sherif S. M. Ghoneim, Hatim G. Zaini International review of electrical engineering . 2016,第3期

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7. Support Vector Machine-Based Fault Diagnosis of Power Transformer Using k Nearest-Neighbor Imputed DGA Dataset [O] . Zahriah Binti Sahri, Rubiyah Binti Yusof 2014

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A New DGA Based Transformer Fault Diagnosis Scheme Suitable for Time-Series Fault Data

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