Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3876
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dc.contributor.authorBalivada, Santhosh Kumar-
dc.contributor.authorKarmakar, Subrata-
dc.date.accessioned2023-01-06T10:56:00Z-
dc.date.available2023-01-06T10:56:00Z-
dc.date.issued2022-12-
dc.identifier.citationIEEE 6th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), NIT Durgapur, 17–19 December 2022en_US
dc.identifier.urihttp://hdl.handle.net/2080/3876-
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractOne of the most important techniques for recog-nizing the potential fault in a power transformer at an early stage, i.e., incipient state, can be done through the interpretation of Dissolved Gas Analysis (DGA). Depending on the nature and seriousness of the fault, the insulation breakdown starts instantaneously, and the decomposition products will be distinct. DGA is periodically used to test the transformer’s insulation oil to obtain dissolved gases that developed as an outcome of degradation in interior insulating materials. A conclusion can be drawn from the data obtained by DGA using distinct interpretation techniques. However, for the same instance, they could diagnose different fault categories. The purpose of this research is to examine the performance of different DGA in-terpretation techniques, i.e., Doernenburg Ratio Method (DRM), Rogers Ratio Method (RRM), IEC Ratio Method (IRM), Duval Triangle Method (DTM) and Duval Pentagon Method (DPM), [1] and evaluate these methods from fifty predetermined fault cases obtained from the IEEE Dataport in Enwen Li datasheet [2] using python. This study not only compares these techniques’ overall accuracy but also focuses on the effectiveness of each method’s ability to identify a particular fault separately.en_US
dc.subjectPower transformeren_US
dc.subjectDissolved gas analysisen_US
dc.subjectIn-cipient faulten_US
dc.titleComparison of Dissolved Gas Interpretation Techniques in Mineral Oil Immersed Transformersen_US
dc.typeArticleen_US
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