Transformer fault diagnosis based on adversarial generative networks and deep stacked autoencoder

Author:

Zhang Lei,Xu Zhongyang,Lu Chen,Qiao Tianjiao,Su Hongzhi,Luo Yazhou

Publisher

Elsevier BV

Reference21 articles.

1. A high-quality rice leaf disease image data augmentation method based on a dual GAN;Zhang;IEEE Access,2023

2. Based on weighted comprehensive loss optimization deep learning and DGA transformer fault diagnosis method;Wang;China Southern Power Grid Technology,2020

3. Ning Xiaoguang, etc. Power transformer fault diagnosis based on deep autoencoder network;Shi;Power automation equipment,2016

4. Transformer fault diagnosis method based on kernel principal component analysis and random forest;Hu;High voltage technology36,2010

5. Pattern recognition of GIS partial discharge PRPD spectra based on deep residual networks;Xu;High voltage technology,2022

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