The electrical industry needs a better understanding in the topic related to the fault diagnosis, since these fluids are chemically different in comparison with conventional mineral oils, therefore, its performance in field changes, for example the generated gases. This paper presents an investigation related to the gas generation of a new soybean-based natural ester liquid, which includes a data compilation of distribution and power transformers diagnosis during factory tests by dissolved gas analysis (DGA) method. This work covers an evaluation of the generated gases for three common types of transformer faults (overheating, partial discharge and high energy discharges) at lab scale testing and their interpretation by using different diagnostic methods to predict the fault type. It is found that overheating problems in natural esters can be associated with ethylene, while acetylene and hydrogen are linked for high energy fault and partial discharge faults, respectively. On the other hand, it is confirmed that Duval triangle is the most reliable method to diagnose natural esters liquids. The authors consider that the DGA data presented in this work represent valuable information for the transformer industry.

中文翻译：

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大豆基天然酯绝缘液溶解气体分析的评价与解释

电气行业需要更好地理解与故障诊断相关的主题，因为与传统矿物油相比，这些流体在化学上不同，因此其在现场的性能会发生变化，例如产生的气体。本文介绍了与新型大豆基天然酯液体的产气相关的研究，其中包括通过溶解气体分析 (DGA) 方法对工厂测试期间的配电和电力变压器诊断数据进行汇编。这项工作涵盖了在实验室规模测试中对三种常见变压器故障（过热、局部放电和高能放电）产生的气体进行评估，并通过使用不同的诊断方法来预测故障类型来对其进行解释。发现天然酯的过热问题可能与乙烯有关，而乙炔和氢气分别与高能故障和局部放电故障有关。另一方面，证实杜瓦尔三角是诊断天然酯类液体最可靠的方法。作者认为这项工作中提供的 DGA 数据代表了变压器行业的宝贵信息。