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Fuzzy Algorithm for Power Transformer Diagnostics

机译:电力变压器诊断的模糊算法

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Dissolved gas analysis (DGA) of transformer oil has been one of the most reliable techniques to detect the incipient faults. Many conventional DGA methods have been developed to interpret DGA results obtained from gas chromatography. Although these methods are widely used in the world, they sometimes fail to diagnose, especially when DGA results fall outside conventional methods codes or when more than one fault exist in the transformer. To overcome these limitations, the fuzzy inference system (FIS) is proposed. Two hundred different cases are used to test the accuracy of various DGA methods in interpreting the transformer condition.
机译:变压器油中的溶解气体分析(DGA)已成为检测初期故障的最可靠技术之一。已经开发了许多常规的DGA方法来解释从气相色谱获得的DGA结果。尽管这些方法已在世界范围内广泛使用,但它们有时仍无法诊断,尤其是当DGA结果超出常规方法代码或变压器中存在多个故障时。为了克服这些限制,提出了模糊推理系统(FIS)。使用200种不同的情况来测试各种DGA方法在解释变压器状况时的准确性。

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