Inrush current method of transformer based on wavelet packet and neural network-Reference-Cited by-同舟云学术

Inrush current method of transformer based on wavelet packet and neural network

Published:2019-02-06 Issue:16 Volume:2019 Page:1257-1260
ISSN:2051-3305
Container-title:The Journal of Engineering
language:en
Short-container-title:J. eng.

Author:

Wang Wei¹,Yan Lin²,Jin Tao¹,Liu Hong¹,Hu Fan¹,Wu Dongxun³

Affiliation:

1. State Grid Shanxi Electric Power Research InstituteTaiyuanShanxiPeople's Republic of China

2. State Grid Taiyuan Power Supply CompanyTaiyuanShanxiPeople's Republic of China

3. Economic and Technical Research Institute of SEPC of SGCCTaiyuanShanxiPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

General Engineering,Energy Engineering and Power Technology,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/joe.2018.8847

Reference14 articles.

1. Hybrid Transformer Model for Transient Simulation—Part I: Development and Parameters

2. OliveiraL. CardosoA.: ‘A coupled electromagnetic transformer model for the analysis of winding inter‐turn short‐circuits’.IEEE Int. Symp. Diagnostics for Electrical Machines IEEE Grado Italy 2001 pp.367–372

3. Experimental Verification and Finite Element Analysis of Short-Circuit Electromagnetic Force for Dry-Type Transformer

4. Dependability Metrics to Assess Safety-Critical Systems

5. Empirical Mode Decomposition as a Filter Bank

Cited by 6 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. Fault Diagnosis of Rectifier Circuit Based on Improved PSO Algorithm;2024 International Conference on Artificial Intelligence and Digital Technology (ICAIDT);2024-06-07

2. Inrush current detection enhancement for legacy overcurrent relays in north delta electric distribution company;Electric Power Systems Research;2021-12

3. Symmetrical Fault Detection During Power Swing Based on dq-Wavelet Packet Entropy;2021 International Conference on Computational Performance Evaluation (ComPE);2021-12-01

4. A Novel Signal Localized Convolution Neural Network for Power Transformer Differential Protection;IEEE Transactions on Power Delivery;2021

5. Ratios-based universal differential protection algorithm for power transformer;Electric Power Systems Research;2020-09