A novel power transformer fault diagnosis method based on data augmentation for KPCA and deep residual network

Because transformer plays an important role in power system, it rarely runs in fault or abnormal state. Therefore, it is difficult to obtain sufficient transformer fault samples. In this paper, aiming at the problem of less fault sample data and data imbalance, a novel data augmentation method based...

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Bibliographic Details
Main Authors: Xiaozhi Liu, Jie Xie, Yanhong Luo, Dongsheng Yang
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Energy Reports
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S235248472300642X