SMOTENGO-GBDTT

Li-Zhong Wang1, Jian-Fei Chi1, Ye-Qiang Ding1

  • 1State Grid Zhejiang Power Co., Ltd, Hangzhou Linping Power Supply Company, Hangzhou, 311199, China.

Scientific reports
|March 27, 2024
PubMed
概括

这项研究介绍了一种使用合成少数人过量采样技术 (SMOTE) 和北方戈斯霍克优化 (NGO) 的新型变压器故障诊断方法,以提高梯度增强决策树 (GBDT) 的性能. 该方法有效地解决了不平衡的数据,提高了故障识别的准确性,减少了错误判断.

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