Design of partial discharge detection device based on BP neural network algorithm

Author:

Wang Zhendong,Han Xueyu,Wang Yonggui

Abstract

Abstract At present, with the rapid development of science and technology, the construction of new power systems has been promoted rapidly, and the automation and intelligence of power network operation equipment has been continuously improved. It is increasingly important to use various detection techniques for the state detection of power grid operating equipment. In this paper, a design scheme of partial discharge detection device based on neural network BP algorithm is achieved, combining with the current detection technology and embedded technology. The purpose of discovering and evaluating the insulation defects of power grid equipment is to detect partial discharge.

Publisher

IOP Publishing

Reference10 articles.

1. An Integrated Sensor with AE and UHF Methods for Partial Discharges Detection in Transformers Based on Oil Valve[J];Si;IEEE Sensors Letters,2019

2. A Novel Partial Discharge Detection Method for Power Transformers on Site Adopting Its Component as Ultra-High Frequency Sensor [J];Zhang;IEEE Transactions on Power Delivery,2019

3. A Flexible Planarized Biconical Antenna for Partial Discharge Detection in Gas-Insulated Switchgear [J];Zhang;IEEE Antennas and Wireless Propagation Letters,2022

4. A Novel GIS Partial Discharge Detection Sensor with Integrated Optical and UHF Methods [J];Li;IEEE Transactions on Power Delivery,2018

5. Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Neural Network Structure [J];Chu;IEEE Transaction Neural Networks and Learning Systems,2020

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