Article: Real-time monitoring system for power distribution network faults based on deep learning technology Journal: International Journal of Information and Communication Technology (IJICT) 2024 Vol.25 No.5 pp.18 - 39 Abstract: This article aims to propose a reliable real-time monitoring system for distribution network defects, improve intelligent monitoring technology by combining deep learning technology, and analyse the drawbacks of traditional real-time monitoring of distribution network defects in real-time, by improving the algorithm, the basic structure of the algorithm model is constructed. Based on experimental analysis, the data processing of this system is based on deep learning technology. Multiple monitoring modules are used in the system to improve the accuracy and real-time performance of data collection, providing more reliable data support for fault detection. From the simulation experiment, it can be seen that the real-time monitoring system for distribution network defects based on deep learning proposed in this article can play an important role in fault diagnosis and troubleshooting in the distribution network. Inderscience Publishers - linking academia, business and industry through research

Title: Real-time monitoring system for power distribution network faults based on deep learning technology

Authors: Qiaoni Zhao; Li Yang

Addresses: Hunan Railway Professional Technology College, ZhuZhou, 412001, China ' Hunan Railway Professional Technology College, ZhuZhou, 412001, China

Abstract: This article aims to propose a reliable real-time monitoring system for distribution network defects, improve intelligent monitoring technology by combining deep learning technology, and analyse the drawbacks of traditional real-time monitoring of distribution network defects in real-time, by improving the algorithm, the basic structure of the algorithm model is constructed. Based on experimental analysis, the data processing of this system is based on deep learning technology. Multiple monitoring modules are used in the system to improve the accuracy and real-time performance of data collection, providing more reliable data support for fault detection. From the simulation experiment, it can be seen that the real-time monitoring system for distribution network defects based on deep learning proposed in this article can play an important role in fault diagnosis and troubleshooting in the distribution network.

Keywords: deep learning; distribution network; defects; real-time monitoring.

DOI: 10.1504/IJICT.2024.140323

International Journal of Information and Communication Technology, 2024 Vol.25 No.5, pp.18 - 39

Received: 11 Jan 2024
Accepted: 09 Apr 2024
Published online: 02 Aug 2024 *

Title: Real-time monitoring system for power distribution network faults based on deep learning technology

Keep up-to-date