Diagnosis of Power Transformer Internal Fault Based on Denoising Autoencoder and Optimized Convolutional Neural Network

Author:

Ji Tianyao1,Lu Aoxuan1,Xu Zihong1,Li Mengshi1

Affiliation:

1. School of Electric Engineering, South China University of Technology,Guangzhou,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference16 articles.

1. A wavelet-based differential transformer protection

2. A Transformer Differential Relay with Second-Harmonic Restraint

3. Characteristics of Inrush Current of Present Designs of Power Transformers

4. Study on transformer protection principle based on equivalent circuit equilibrium equation;Hao;Zhongguo Dianji Gongcheng Xuebao (Proceedings of the Chinese Society of Electrical Engineering),2006

5. Transformer protection using parameter identification method;Xiaofu;Automation of Electric Power Systems,1999

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Inrush Current Identification Based on Mathematical Morphology and LSSVM;2024 9th Asia Conference on Power and Electrical Engineering (ACPEE);2024-04-11

2. Transformer Inrush Current and Internal Fault Discrimination Using Multitypes of Convolutional Neural Network Techniques;Journal of Electrical and Computer Engineering;2024-01

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