On-Line Partial Discharge Monitoring System for Switchgears Based on the Detection of UHF Signals

Author:

Yan Xuewen1,Cheng Chen1,Zhang Chen1,Bai Lei1,Zhang Wenwen1

Affiliation:

1. School of Electronic Engineering, Xi’an University of Post and Telecommunications, Xi’an 710121, China

Abstract

Aiming at the phenomenon of partial discharge caused by the insulation fault of switchgears, an ultra-high frequency (UHF) partial discharge online monitoring system based on the Internet of Thing (IoT) is designed. The hardware of the system mainly consists of UHF sensors, signal conditioning circuits, and data acquisition circuits to realize the monitoring of the discharge signal. The monitoring data is uploaded to the cloud platform through the 4G DTU module, and the host computer software based on B/S architecture is designed on the server side, which can monitor the operation status of the switchgear anytime and anywhere. The experimental results show that the detection system is stable and reliable and can meet practical needs.

Funder

Key Research and Development Projects of Shaanxi Province

Shaanxi Education Department Special Program for Serving Localities

Xi’an University and Instiution Talent Service Enterprise Project

Xi’an Post and Telecommunication University Graduate Student Innovation and Entrepreneurship Fund Program

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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5. Zou, Y., Wu, Z., Gui, J., and Jiang, X.N. (2017, January 30–31). Signal Detection and Pattern Recognition of Switchgear Partial Discharge. Proceedings of the 2017 2nd Internatioanl Seminar on Applied Pyhsics, Optoelectronics and Photonics (APOP 2017), Shanghai, China.

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