您当前的位置：
首页 >
文章列表页 >
Fault Diagnosis Method for Transformer Winding Based on the Load Normalized Lissajous Graphical Analysis of Leakage Magnetic Field
ANOMALY DETECTION AND SAFETY CONTROL OF CYBER-PHYSICAL SYSTEMS FOR MAJOR EQUIPMENT | 更新时间：2024-11-22
|

    • Fault Diagnosis Method for Transformer Winding Based on the Load Normalized Lissajous Graphical Analysis of Leakage Magnetic Field

    • “在变压器故障诊断领域，专家提出了基于Lissajous图形与卷积神经网络的故障诊断方法，通过负载归一化和特征提取，有效区分不同程度和位置的绕组短路故障。”
    • Advanced Engineering Sciences   Vol. 56, Issue 6, Pages: 25-33(2024)

    • DOI：10.12454/j.jsuese.202400083    

      CLC： TP391.5

    • Published：20 November 2024，

      Published Online：27 June 2024，

      Received：30 January 2024，

      Revised：22 May 2024，

    移动端阅览

  • Zhang Bowen,Feng Jian,Wang Bowen,et al.Fault diagnosis method for transformer winding based on the load normalized lissajous graphical analysis of leakage magnetic field[J].Advanced Engineering Sciences,2024,56(6):25–33 DOI： 10.12454/j.jsuese.202400083.

  •  
  •  

0

Views

48

下载量

0

CNKI被引量

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Micro-electrical Discharge Machining of Micro-holes Based on Integrated Orthogonal Experiments and CNN Methods
Short-term Wind Power Prediction: Feature Selection and ISSA–CNN–BiGRU Approach
Wind Farm Power Transfer Forecasting Method Based on CNN–LSTM
Deep ADMM Network in Wavelet Domain for Image Restoration

Related Author

XING Yitong
YANG Feiran
WANG Bowen
FENG Jian
ZHANG Bowen
Jiajun ZHONG
Shuqi HUANG
Yazhi WANG

Related Institution

College of Info. Sci.and Eng., Northeastern Univ.
School of Electromechanical Eng., Lingnan Normal Univ.
School of Computer Sci. and Technol., Henan Polytechnic Univ.
College of Electrical Eng., Sichuan Univ.
School of Eng., The Univ.Edinburgh, Edinburgh
0