Application of Multi-strategy Improved Mayfly Algorithm in Transformer Fault Diagnosis
ZHENG Yingchun
ZHU Mei
Abstract：In order to improve the accuracy of support vector machine in transformer fault diagnosis,a multi-strategy improved mayfly algorithm is proposed to optimize the support vector machine for fault diagnosis,and the optimal parameters of support vectors c and g are obtained by optimizing the improved may fly algorithm by using the spiral function,positive cosine adaptive weights.The improved algorithm is simulated and compared with three test functions,and the experiments show that the improved algorithm has high optimization accuracy and faster convergence speed.The fault diagnosis method proposed in this paper is applied to the actual DGA fault data,and the results show that the method can effectively improve the accuracy of transformer fault diagnosis and shorten the operation time.
Keywords：fault diagnosissupport vector machinemayfly algorithmspiral functionrefracted opposition-based learning
Publication Date：2024-10-25
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 86-92 )