The Effect of Source Data on Graphical Pentagons DGA Methods for Detecting Incipient Faults in Power Transformers

Hechifa, Abdelmoumene; Lakehal, Abdelaziz; Labiod, Chouaib; Nanfak, Arnaud; Mansour, Diaa-Eldin A.; Said, Djaballah

doi:10.1109/dasa59624.2023.10286665

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2024

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Cited by 2 publications

References 21 publications

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A Novel Method Based on Particle Swarm Optimization Support Vector Neural Network for Transformer Fault Diagnosis

Zhang,

Ding,

Zhang

et al. 2024

Lecture Notes in Computer Science

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A Novel Method Based on Particle Swarm Optimization Support Vector Neural Network for Transformer Fault Diagnosis

Zhang,

Ding,

Zhang

et al. 2024

Lecture Notes in Computer Science

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Transformer fault diagnosis method based on SMOTE and NGO-GBDT

Wang,

Chi,

Ding

et al. 2024

Sci Rep

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In order to improve the accuracy of transformer fault diagnosis and improve the influence of unbalanced samples on the low accuracy of model identification caused by insufficient model training, this paper proposes a transformer fault diagnosis method based on SMOTE and NGO-GBDT. Firstly, the Synthetic Minority Over-sampling Technique (SMOTE) was used to expand the minority samples. Secondly, the non-coding ratio method was used to construct multi-dimensional feature parameters, and the Light Gradient Boosting Machine (LightGBM) feature optimization strategy was introduced to screen the optimal feature subset. Finally, Northern Goshawk Optimization (NGO) algorithm was used to optimize the parameters of Gradient Boosting Decision Tree (GBDT), and then the transformer fault diagnosis was realized. The results show that the proposed method can reduce the misjudgment of minority samples. Compared with other integrated models, the proposed method has high fault identification accuracy, low misjudgment rate and stable performance.

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The Effect of Source Data on Graphical Pentagons DGA Methods for Detecting Incipient Faults in Power Transformers

Cited by 2 publications

References 21 publications

A Novel Method Based on Particle Swarm Optimization Support Vector Neural Network for Transformer Fault Diagnosis

A Novel Method Based on Particle Swarm Optimization Support Vector Neural Network for Transformer Fault Diagnosis

Transformer fault diagnosis method based on SMOTE and NGO-GBDT

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