Fault diagnosis of transformer oil-paper bushings in PSO-BPNN algorithm based on ADASYN data balancing

Fault diagnosis of transformer oil-paper bushings in PSO-BPNN algorithm based on ADASYN data balancing

The insulation performance of transformer bushings is a crucial aspect that directly affects the safe operation of equipment. To diagnose the insulation status of transformer bushings and mitigate the impact of small-sample imbalanced data on diagnostic results, a particle swarm optimization combine...

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Bibliographic Details
Main Authors: YANG Hao, HU Wenxiu, ZHANG Lu, CHEN Jinpeng, ZHOU Sijia, ZHAO Sirui
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2024-03-01
Series:电力工程技术
Subjects:
transformer bushing
fault diagnosis
dissolved gas in oil
back propagation neural network (bpnn)
unbalanced data
adaptive synthetic sampling (adasyn)
Online Access:https://www.epet-info.com/dlgcjsen/article/abstract/221129673

Internet

https://www.epet-info.com/dlgcjsen/article/abstract/221129673

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