Research on Intelligent Fault Diagnosis Methods for Distribution Networks by Integrating Phase-angle Features and Artificial Neural Networks

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Special Issue of New Distribution Networks | 更新时间：2025-11-20

- Research on Intelligent Fault Diagnosis Methods for Distribution Networks by Integrating Phase-angle Features and Artificial Neural Networks
- “In the field of fault diagnosis in distribution networks, researchers have proposed an intelligent diagnostic method that integrates voltage phase characteristics with artificial neural networks, effectively improving the robustness and accuracy of fault diagnosis.”
- Rural Electrification Issue 11, Pages: 24-29(2025)
- 作者机构：
  
  1.山东农业大学机械与电子工程学院，山东泰安 271018
  2.潍坊科技学院，山东寿光 262700
- 作者简介：
- 基金信息：
- DOI：10.13882/j.cnki.ncdqh.2509A001
  CLC： [TM721;32400.14.ncdqh.2509A001
- Received：01 September 2025，
  
  Published：10 November 2025
- 稿件说明：
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Ruixin LAN, Simiao WEN, Wen ZHANG, et al. Research on Intelligent Fault Diagnosis Methods for Distribution Networks by Integrating Phase-angle Features and Artificial Neural Networks[J]. Rural Electrification, 2025, (11): 24-29.
DOI：

Ruixin LAN, Simiao WEN, Wen ZHANG, et al. Research on Intelligent Fault Diagnosis Methods for Distribution Networks by Integrating Phase-angle Features and Artificial Neural Networks[J]. Rural Electrification, 2025, (11): 24-29. DOI： 10.13882/j.cnki.ncdqh.2509A001.

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