2020 IEEE 4th International Conference on Intelligent Energy and Power Systems (IEPS) 2020
DOI: 10.1109/ieps51250.2020.9263145
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Recognition of Overheating with Temperatures of 150-300°C by Analysis of Dissolved Gases in Oil

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Cited by 8 publications
(6 citation statements)
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“…One way to eliminate this problem is to evaluate and analyze the values of all diagnostic criteria simultaneously in the same type of equipment with defects of the same type, with subsequent training of the diagnostic model. The use of such an approach makes it possible, on the one hand, to eliminate contradictions between different diagnostic criteria when recognizing defects of the same type [26], and, on the other hand, to determine characteristic ranges of diagnostic criteria values for defects for which such ranges are not regulated [27][28].…”
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confidence: 99%
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“…One way to eliminate this problem is to evaluate and analyze the values of all diagnostic criteria simultaneously in the same type of equipment with defects of the same type, with subsequent training of the diagnostic model. The use of such an approach makes it possible, on the one hand, to eliminate contradictions between different diagnostic criteria when recognizing defects of the same type [26], and, on the other hand, to determine characteristic ranges of diagnostic criteria values for defects for which such ranges are not regulated [27][28].…”
mentioning
confidence: 99%
“…The raw data were first divided into several separate arrays depending on the type of defect detected. Then, by analogy with [26][27][28], the percentage content values for each of the five gases were determined, the values of characteristic gas ratios were calculated, and defect nomograms were constructed for each of the transformers analyses. The obtained values were compared with each other and if the value of at least one of the criteria differed significantly from those obtained earlier, the DGA results for the analyzed transformer were transferred to another array.…”
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confidence: 99%
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