Abstract
Accurate diagnosis of the transformer fault type can effectively improve the stability of the power system. In order to improve the accuracy of transformer fault type diagnosis and solve the problem that the fault area division of the Duval pentagon method is too absolute, a combination method based on Duval pentagon 1 and SSA-BP is proposed. Firstly, the Duval pentagon method is used to extract the characteristic gas characteristics, and then SSA-BP is input for fault diagnosis. The final experiment shows that the correct rate of the diagnostic effect of the combined method reaches 89.6%, which can effectively complete the diagnosis of transformer fault types and provide reference to the operation and maintenance personnel.
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Zhang, S., Tao, X., Ding, H., Lu, C., Shan, M. (2023). Improved Transformer Fault Diagnosis Method Based on Sparrow Search Algorithm-Optimized BP Network and Duval Pentagon. In: Dong, X., Yang, Q., Ma, W. (eds) The proceedings of the 10th Frontier Academic Forum of Electrical Engineering (FAFEE2022). FAFEE 2022. Lecture Notes in Electrical Engineering, vol 1054. Springer, Singapore. https://doi.org/10.1007/978-981-99-3408-9_46
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DOI: https://doi.org/10.1007/978-981-99-3408-9_46
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