Quantitative analysis and simple monitoring for partial discharge from transformer

Seung Soo Kwak, Yong Sin Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The various signals are output such as partial discharge, vibration, ultrasonic waves, and acoustic emission when the transformers have deformation or abnormality. These signals need to be monitored since they are important signals to notice the transformer failure. To prevent this, the monitoring system of transformer uses a high-speed data acquisition system to extract various physical quantities from the raw abnormal signal. Among the types of abnormal signals, partial discharge (PD) is caused by failure of the insulator, which has a great influence on the life and maintenance of the transformer. In this paper, a PD signal is mimicked by using a PD generator to analyze the partial discharge of a transformer. PD signal is simply analyzed by fast Fourier transform. Also, by proposing a simple monitoring system, it is introduced that a communication method of root-mean-square (RMS) value, maximum value, and maximum RMS value.

Original languageEnglish
Title of host publication2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728191614
DOIs
Publication statusPublished - 2021 Jan 31
Event2021 International Conference on Electronics, Information, and Communication, ICEIC 2021 - Jeju, Korea, Republic of
Duration: 2021 Jan 312021 Feb 3

Publication series

Name2021 International Conference on Electronics, Information, and Communication, ICEIC 2021

Conference

Conference2021 International Conference on Electronics, Information, and Communication, ICEIC 2021
CountryKorea, Republic of
CityJeju
Period21/1/3121/2/3

Keywords

  • Monitoring
  • Partial discharge
  • Transformer

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering
  • Instrumentation

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