Research of Transformer Fault Diagnosis Algorithm Based on Stacked Sparse Autocoding

Author:

Jiang Yi1,Yang Xu1,Cheng Lin1,Zhang Jing1,Luo Chuanxian1

Affiliation:

1. NARI Group Corporation/State Grid Electric Power Research Institute,Nanjing,China,211006

Funder

Science and Technology Project of SGCC

Publisher

IEEE

Reference11 articles.

1. The rapid development type” discharge failure and its damage characteristics to oil-paper insulation[J];wei;Trans China Electrotechnical Society,2022

2. Partial discharge characteristics of C6F12O/CO2 mixed gas at power frequency AC voltage

3. Stacked denoising autoencoders: learning useful representations in a deep network with a local denoising criterion[J];vincent;Journal of Machine Learning Research,2010

4. Computer-aided recognition of discharge sources

5. Feature extraction for partial discharge signals based on the optimal wavelet packet basis transform and kernel principal component analysis[J];tang;Transactions of China Electrotechnical Society,2010

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