Research on transformer fault diagnosis method based on ACGAN and CGWO-LSSVM

Abstract This paper proposes a transformer fault diagnosis method based on ACGAN and CGWO-LSSVM to address the problem of misjudgment and low diagnostic accuracy caused by the small number and uneven distribution of some fault samples in transformer fault diagnosis. Firstly, generate adversarial net...

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Autors principals:	Shan Guan, Tong-yu Wu, Hai-qi Yang
Format:	Artigo
Idioma:	Inglês
Publicat:	Nature Portfolio 2024-07-01
Col·lecció:	Scientific Reports
Matèries:	Transformer fault diagnosis Unbalanced small samples ACGAN Grey wolf optimization algorithm Least squares support vector machine
Accés en línia:	https://doi.org/10.1038/s41598-024-68141-z
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