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- W4291107421 abstract "Transformer is the key equipment of power system, and its stable operation is very important to the security of power system In practical application, with the progress of technology, the performance of transformer becomes more and more important, but faults also occur from time to time in practical application, and the traditional manual fault diagnosis needs to consume a lot of time and energy. At present, the rapid development of artificial intelligence technology provides a new research direction for timely and accurate detection and treatment of transformer faults. In this paper, a method of transformer fault diagnosis using artificial neural network is proposed. The neural network algorithm is used for off-line learning and training of the operation state data of normal and fault states. By adjusting the relationship between neuron nodes, the mapping relationship between fault characteristics and fault location is established by using network layer learning, Finally, the reasoning process from fault feature to fault location is realized to realize intelligent fault diagnosis." @default.
- W4291107421 created "2022-08-13" @default.
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- W4291107421 date "2022-03-04" @default.
- W4291107421 modified "2023-09-30" @default.
- W4291107421 title "Intelligent fault diagnosis technology of power transformer based on Artificial Intelligence" @default.
- W4291107421 doi "https://doi.org/10.1109/itoec53115.2022.9734331" @default.
- W4291107421 hasPublicationYear "2022" @default.
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