Arc-Fault Detection method with Saturated Current Transformer

Sittichai Wangwiwattana, Koike Yoshikazu

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

Abstract

In this research, we devised a low cost and low voltage arc-fault detector. The circuit detection method is to measure peak current from the current transformer and make the comparison between non-Arc-fault state and arc-fault state. Since the output current peak created by the current sense transformer in arc-fault state has certain jagged edge, voltage output from the transformer is substantially lower than that of normal state. Such a voltage variation causes into changes of magnetic flux in the current transformer. It is expected that the large voltage difference between arc fault and non-Arc fault state appears. It can be used to detect and identify the arc-fault even if arc-fault influence on the supplied voltage is quite low. In this report, we are able to detect the direct pattern difference between non-Arc fault and arc fault state. The detection setup for proposed method can be created successfully.

Original languageEnglish
Title of host publication2022 2nd International Conference on Image Processing and Robotics, ICIPRob 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665407717
DOIs
Publication statusPublished - 2022
Event2nd International Conference on Image Processing and Robotics, ICIPRob 2022 - Colombo, Sri Lanka
Duration: 2022 Mar 122022 Mar 13

Publication series

Name2022 2nd International Conference on Image Processing and Robotics, ICIPRob 2022

Conference

Conference2nd International Conference on Image Processing and Robotics, ICIPRob 2022
Country/TerritorySri Lanka
CityColombo
Period22/3/1222/3/13

Keywords

  • arc fault
  • current transformer
  • detection
  • power simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Control and Optimization
  • Modelling and Simulation

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