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- W2038479537 abstract "Abstract In the quest of more reliable power transformer protection, differential protection is considered the best scheme. In the proposed scheme, various operating conditions of transformers are distinguished by virtue of the signatures of differential current. As the conditions of internal fault and magnetizing inrush do have some of the signatures common among them, it is becoming increasingly important and difficult to distinguish between magnetizing inrush and fault conditions for differential relaying. In this direction, both feature-based, as well as pattern-based, approaches are used. In this article, a new approach, based on neuro-fuzzy technique, is presented for power transformer protection that ensures relay stability against external fault, magnetizing inrush, sympathetic inrush, and over-excitation conditions and its operation on internal faults. This approach is able to handle the “vague” information rather than only the “crisp” information. In the proposed method, fuzzy back-propagation n..." @default.
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- W2038479537 date "2008-02-21" @default.
- W2038479537 modified "2023-10-16" @default.
- W2038479537 title "Neuro-fuzzy Technique for Power Transformer Protection" @default.
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- W2038479537 doi "https://doi.org/10.1080/15325000701603967" @default.
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