![]() ![]() If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. You can help adding them by using this form. We have no bibliographic references for this item. ![]() It also allows you to accept potential citations to this item that we are uncertain about. This allows to link your profile to this item. If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. See general information about how to correct material in RePEc.įor technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2020:i:1:p:36-:d:467076. You can help correct errors and omissions. Suggested CitationĪll material on this site has been provided by the respective publishers and authors. Finally, the recommendation of maintenance strategy and time interval is proposed for effective planning to minimize the catastrophic damage, which could occur with the power transformer and its network. This fuzzy logic is a smart, accurate tool for automatically identifying faults occurring within transformers. Finally, the DGA results of a total of 224 transformers were further evaluated by the fuzzy logic system. Two transformers were evaluated and practically confirmed by the investigation results of an un-tanked power transformer. After that, the fuzzy logic system was applied and validated with DGA results of 244 transformers as reference cases with satisfactory accuracy. At the same time, the IEC three-gas ratio and Duval triangle are subsequently applied to confirm the problems in different failure types covering all possibilities inside the power transformer. Fuzzy logic with the key gas approach was used to calculate the failure index and identify problems inside the power transformer. Then, the condition of the power transformer is evaluated in terms of the percentage of failure index and internal fault determination. This research focuses on problem identification due to faults in power transformers during operation by using dissolved gas analysis such as key gas, IEC ratio, Duval triangle techniques, and fuzzy logic approaches. ![]()
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